# Changelog

## [Unreleased]

## [3.4.0]

Released on August 18, 2021

**Notice:** 3.4.x will be the last major release series of Eigen that will support c++03.

### Breaking changes

* Using float or double for indexing matrices, vectors and arrays will now fail to compile
* **Behavioral change:** `Transform::computeRotationScaling()` and `Transform::computeScalingRotation()` are now more continuous across degeneracies (see !349).

### New features

* Add c++11 **`initializer_list` constructors** to Matrix and Array [\[doc\]](http://eigen.tuxfamily.org/dox-devel/group__TutorialMatrixClass.html#title3)
* Add STL-compatible **iterators** for dense expressions [\[doc\]](http://eigen.tuxfamily.org/dox-devel/group__TutorialSTL.html).
* New versatile API for sub-matrices, **slices**, and **indexed views** [\[doc\]](http://eigen.tuxfamily.org/dox-devel/group__TutorialSlicingIndexing.html).
* Add C++11 **template aliases** for Matrix, Vector, and Array of common sizes, including generic `Vector<Type,Size>` and `RowVector<Type,Size>` aliases [\[doc\]](http://eigen.tuxfamily.org/dox-devel/group__matrixtypedefs.html).
* New support for `bfloat16`.

### New backends

* **Arm SVE:** fixed-length [Scalable Vector Extensions](https://developer.arm.com/Architectures/Scalable%20Vector%20Extensions) vectors for `uint32_t` and `float` are available.
* **MIPS MSA:**: [MIPS SIMD Architecture (MSA)](https://www.mips.com/products/architectures/ase/simd/) 
* **AMD ROCm/HIP:** generic GPU backend that unifies support for [NVIDIA/CUDA](https://developer.nvidia.com/cuda-toolkit) and [AMD/HIP](https://rocmdocs.amd.com/en/latest/).
* **Power 10 MMA:** initial support for [Power 10 matrix multiplication assist instructions](https://arxiv.org/pdf/2104.03142.pdf) for float32 and float64, real and complex.

### Improvements

* Eigen now uses the c++11 **alignas** keyword for static alignment. Users targeting C++17 only and recent compilers (e.g., GCC>=7, clang>=5, MSVC>=19.12) will thus be able to completely forget about all [issues](http://eigen.tuxfamily.org/dox-devel/group__TopicUnalignedArrayAssert.html) related to static alignment, including `EIGEN_MAKE_ALIGNED_OPERATOR_NEW`.
* Various performance improvements for products and Eigen's GEBP and GEMV kernels have been implemented:
  * By using half and quater-packets the performance of matrix multiplications of small to medium sized matrices has been improved
  * Eigen's GEMM now falls back to GEMV if it detects that a matrix is a run-time vector
  * The performance of matrix products using Arm Neon has been drastically improved (up to 20%)
  * Performance of many special cases of matrix products has been improved
* Large speed up from blocked algorithm for `transposeInPlace`.
* Speed up misc. operations by propagating compile-time sizes (col/row-wise reverse, PartialPivLU, and others)
* Faster specialized SIMD kernels for small fixed-size inverse, LU decomposition, and determinant.
* Improved or added vectorization of partial or slice reductions along the outer-dimension, for instance: `colmajor_mat.rowwise().mean()`.

### Elementwise math functions

* Many functions are now implemented and vectorized in generic (backend-agnostic) form.
* Many improvements to correctness, accuracy, and compatibility with c++ standard library.
  * Much improved implementation of `ldexp`.
  * Misc. fixes for corner cases, NaN/Inf inputs and singular points of many functions.
  * New implementation of the Payne-Hanek for argument reduction algorithm for `sin` and `cos` with huge arguments.
  * New faithfully rounded algorithm for `pow(x,y)`.
* Speedups from (new or improved) vectorized versions of `pow`, `log`, `sin`, `cos`, `arg`, `pow`, `log2`, complex `sqrt`, `erf`, `expm1`, `logp1`, `logistic`, `rint`, `gamma` and `bessel` functions, and more.
* Improved special function support (Bessel and gamma functions, `ndtri`, `erfc`, inverse hyperbolic functions and more)
* New elementwise functions for `absolute_difference`, `rint`.

### Dense matrix decompositions and solvers

* All dense linear solvers (i.e., Cholesky, *LU, *QR, CompleteOrthogonalDecomposition, *SVD) now inherit SolverBase and thus support `.transpose()`, `.adjoint()` and `.solve()` APIs.
* SVD implementations now have an `info()` method for checking convergence.
* Most decompositions now fail quickly when invalid inputs are detected.
* Optimized the product of a `HouseholderSequence` with the identity, as well as the evaluation of a `HouseholderSequence` to a dense matrix using faster blocked product.
* Fixed aliasing issues with in-place small matrix inversions.
* Fixed several edge-cases with empty or zero inputs.

### Sparse matrix support, decompositions and solvers

* Enabled assignment and addition with diagonal matrix expressions.
* Support added for SuiteSparse KLU routines via the `KLUSupport` module.  SuiteSparse must be installed to use this module.
* `SparseCholesky` now works with row-major matrices.
* Various bug fixes and performance improvements.

### Type support

* Improved support for `half`
  * Native support added for ARM `__fp16`, CUDA/HIP `__half`, and `F16C` conversion intrinsics.
  * Better vectorization support added across all backends.
* Improved bool support
  * Partial vectorization support added for boolean operations.
  * Significantly improved performance (x25) for logical operations with `Matrix` or `Tensor` of `bool`.
* Improved support for custom types
  * More custom types work out-of-the-box (see #2201).

### Backend-specific improvements

* **Arm NEON**
  * Now provides vectorization for `uint64_t`, `int64_t`, `uint32_t`, `int16_t`, `uint16_t`, `int16_t`, `int8_t`, and `uint8_t`
  * Emulates `bfloat16` support when using `Eigen::bfloat16`
  * Supports emulated and native `float16` when using `Eigen::half`
* **SSE/AVX/AVX512**
  * General performance improvements and bugfixes.
  * Enabled AVX512 instructions by default if available.
  * New `std::complex`, `half`, and `bfloat16` vectorization support added.
  * Many missing packet functions added.
* **Altivec/Power**
  * General performance improvement and bugfixes.
  * Enhanced vectorization of real and complex scalars.
  * Changes to the `gebp_kernel` specific to Altivec, using VSX implementation of the MMA instructions that gain speed improvements up to 4x for matrix-matrix products.
  * Dynamic dispatch for GCC greater than 10 enabling selection of MMA or VSX instructions based on `__builtin_cpu_supports`.
* **GPU (CUDA and HIP)**
  * Several optimized math functions added, better support for `std::complex`.
  * Added option to disable CUDA entirely by defining `EIGEN_NO_CUDA`.
  * Many more functions can now be used in device code (e.g. comparisons, small matrix inversion).
* **ZVector**
  * Vectorized `float` and `std::complex<float>` support added.
  * Added z14 support.
* **SYCL**
  * Redesigned SYCL implementation for use with the [https://eigen.tuxfamily.org/dox/unsupported/eigen_tensors.html Tensor] module, which can be enabled by defining `EIGEN_USE_SYCL`.
  * New generic memory model introduced used by `TensorDeviceSycl`.
  * Better integration with OpenCL devices.
  * Added many math function specializations.

### Miscellaneous API Changes

* New `setConstant(...)` methods for preserving one dimension of a matrix by passing in `NoChange`.
* Added `setUnit(Index i)` for vectors that sets the ''i'' th coefficient to one and all others to zero.
* Added `transpose()`, `adjoint()`, `conjugate()` methods to `SelfAdjointView`.
* Added `shiftLeft<N>()` and `shiftRight<N>()` coefficient-wise arithmetic shift functions to Arrays.
* Enabled adding and subtracting of diagonal expressions.
* Allow user-defined default cache sizes via defining `EIGEN_DEFAULT_L1_CACHE_SIZE`, ..., `EIGEN_DEFAULT_L3_CACHE_SIZE`.
* Added `EIGEN_ALIGNOF(X)` macro for determining alignment of a provided variable.
* Allow plugins for `VectorwiseOp` by defining a file `EIGEN_VECTORWISEOP_PLUGIN` (e.g. `-DEIGEN_VECTORWISEOP_PLUGIN=my_vectorwise_op_plugins.h`).
* Allow disabling of IO operations by defining `EIGEN_NO_IO`.

### Improvement to NaN propagation

* Improvements to NaN correctness for elementwise functions.
* New `NaNPropagation` template argument to control whether NaNs are propagated or suppressed in elementwise `min/max` and corresponding reductions on `Array`, `Matrix`, and `Tensor`.

### New low-latency non-blocking ThreadPool module
* Originally a part of the Tensor module, `Eigen::ThreadPool` is now separate and more portable, and forms the basis for multi-threading in TensorFlow, for example.

### Changes to Tensor module

* Support for c++03 was officially dropped in Tensor module, since most of the code was written in c++11 anyway. This will prevent building the code for CUDA with older version of `nvcc`.
* Performance optimizations of Tensor contraction
  * Speed up "outer-product-like" operations by parallelizing over the contraction dimension, using thread_local buffers and recursive work splitting.
  * Improved threading heuristics.
  * Support for fusing element-wise operations into contraction during evaluation.
* Performance optimizations of other Tensor operator
  * Speedups from improved vectorization, block evaluation, and multi-threading for most operators.
  * Significant speedup to broadcasting.
  * Reduction of index computation overhead, e.g. using fast divisors in TensorGenerator, squeezing dimensions in TensorPadding.
* Complete rewrite of the block (tiling) evaluation framework for tensor expressions lead to significant speedups and reduced number of memory allocations.
* Added new API for asynchronous evaluation of tensor expressions.
* Misc. minor behavior changes & fixes:
  * Fix const correctness for TensorMap.
  * Modify tensor argmin/argmax to always return first occurrence.
  * More numerically stable tree reduction.
  * Improve randomness of the tensor random generator.
  * Update the padding computation for `PADDING_SAME` to be consistent with TensorFlow.
  * Support static dimensions (aka IndexList) in resizing/reshape/broadcast.
  * Improved accuracy of Tensor FFT.

### Changes to sparse iterative solvers
* Added new IDRS iterative linear solver.

### Other relevant changes

* Eigen now provides an option to test with an external BLAS library

See the [announcement](https://www.eigen.tuxfamily.org/index.php?title=3.4) for more details.

## [3.3.9]

Released on December 4, 2020.

Changes since 3.3.8:

* Commit 4e5385c90: Introduce rendering Doxygen math formulas with MathJax and the option `EIGEN_DOC_USE_MATHJAX` to control this.
* #1746: Removed implementation of standard copy-constructor and standard copy-assign-operator from PermutationMatrix and Transpositions to allow malloc-less `std::move`.
* #2036: Make sure the find_standard_math_library_test_program compiles and doesn't optimize away functions we try to test for.
* #2046: Rename test/array.cpp to test/array_cwise.cpp to fix an issue with the C++ standard library header "array"
* #2040: Fix an issue in test/ctorleak that occured when disabling exceptions.
* #2011: Remove error counting in OpenMP parallel section in Eigen's GEMM parallelizing logic.
* #2012: Define coeff-wise binary array operators for base class to fix an issue when using Eigen with C++20
* Commit bfdd4a990: Fix an issue with Intel® MKL PARDISO support.

## [3.3.8]

Released on October 5, 2020.

Changes since 3.3.7:

* General bug fixes
  * #1995: Fix a failure in the GEBP kernel when using small L1 cache sizes, OpenMP and FMA.
  * #1990: Make CMake accept installation paths relative to `CMAKE_INSTALL_PREFIX`.
  * #1974: Fix issue when reserving an empty sparse matrix
  * #1823: Fix incorrect use of `std::abs`
  * #1788: Fix rule-of-three violations inside the stable modules. This fixes deprecated-copy warnings when compiling with GCC>=9 Also protect some additional Base-constructors from getting called by user code code (#1587)
  * #1796: Make matrix squareroot usable for Map and Ref types
  * #1281: Fix AutoDiffScalar's make_coherent for nested expression of constant ADs.
  * #1761: Fall back `is_integral` to `std::is_integral` in c++11 and fix `internal::is_integral<size_t/ptrdiff_t>` with MSVC 2013 and older.
  * #1741: Fix `self_adjoint*matrix`, `triangular*matrix`, and `triangular^1*matrix` with a destination having a non-trivial inner-stride
  * #1741: Fix SelfAdjointView::rankUpdate and product to triangular part for destination with non-trivial inner stride
  * #1741: Fix `C.noalias() = A*C;` with `C.innerStride()!=1`
  * #1695: Fix a numerical robustness issue in BDCSVD
  * #1692: Enable enum as sizes of Matrix and Array
  * #1689: Fix used-but-marked-unused warning
  * #1679: Avoid possible division by 0 in complex-schur
  * #1676: Fix C++17 template deduction in DenseBase
  * #1669: Fix PartialPivLU/inverse with zero-sized matrices.
  * #1557: Fix RealSchur and EigenSolver for matrices with only zeros on the diagonal.
* Performance related fixes
  * #1562: Optimize evaluation of small products of the form s*A*B by rewriting them as: s*(A.lazyProduct(B)) to save a costly temporary. Measured speedup from 2x to 5x...
  * Commit 165db26dc and 8ee2e10af: Fix performance issue with SimplicialLDLT for complexes coefficients
* Misc commits
  * Commit 5f1082d0b: Fix `QuaternionBase::cast` for quaternion map and wrapper.
  * Commit a153dbae9: Fix case issue with Lapack unit tests.
  * Commit 3d7e2a1f3: Fix possible conflict with an externally defined "real" type when using gcc-5.
  * Commit 1760432f6: Provide `numext::[u]int{32,64}_t`.
  * Commit 3d18879fc: Initialize isometric transforms like affine transforms.
  * Commit 160c0a340: Change typedefs from private to protected to fix MSVC compilation.
  * Commit 3cf273591: Fix compilation of FFTW unit test.
  * Commit 6abc9e537: Fix compilation of BLAS backend and frontend.
  * Commit 47e2f8a42: Fix real/imag namespace conflict.
  * Commit 71d0402e3: Avoid throwing in destructors.
  * Commit 0dd9643ad: Fix precision issue in `SelfAdjointEigenSolver.h`
  * Commit 6ed74ac97: Make `digits10()` return an integer.
  * Commit 841d844f9: Use pade for matrix exponential also for complex values.
  * Commit 4387298e8: Cast Index to RealScalar in SVDBase to fix an issue when RealScalar is not implicitly convertible to Index.
  * Commit fe8cd812b: Provide `EIGEN_HAS_C99_MATH` when using MSVC.
  * Commit 7c4208450: Various fixes in polynomial solver and its unit tests.
  * Commit e777674a8 and 4415d4e2d: Extend polynomial solver unit tests to complexes.
  * Commit 222ce4b49: Automatically switch between EigenSolver and ComplexEigenSolver, and fix a few Real versus Scalar issues.
  * Commit 7b93328ba: Enable construction of `Ref<VectorType>` from a runtime vector.
  * Commit c28ba89fe: Fix a problem of old gcc versions having problems with recursive #pragma GCC diagnostic push/pop.
  * Commit 210d510a9: Fix compilation with expression template scalar type.
  * Commit efd72cddc: Backport AVX512 implementation to 3.3.
  * Commit 5e484fa11: Fix StlDeque compilation issue with GCC 10.
  * Commit a796be81a: Avoid false-positive test results in non-linear optimization tests
  * Commit 9f202c6f1: Fix undefined behaviour caused by uncaught exceptions in OMP section of parallel GEBP kernel.
  * Commit 4707c3aa8: Fix a bug with half-precision floats on GPUs.
* Fixed warnings
  * Commit 14db78c53: Fix some maybe-uninitialized warnings in AmbiVector.h and test bdcsvd.
  * Commit f1b1f13d3: silent cmake warnings in Lapack CMakeLists.txt
  * Commit 8fb28db12: Rename variable which shadows class name in Polynomials module.
  * Commit f1c12d8ff: Workaround gcc's `alloc-size-larger-than=` warning in DenseStorage.h
  * Commit 6870a39fe: Hide some unused variable warnings in g++8.1 in Tensor contraction mapper.
  * Commit bb9981e24: Fix gcc 8.1 warning: "maybe use uninitialized" in std tests
  * Commit eea99eb4e: Fix always true warning with gcc 4.7in test numext.
  * Commit 65a6d4151: Fix nonnull-compare warning in test geo_alignedbox.
  * Commit 74a0c08d7: Disable ignoring attributes warning in vectorization logic test.
  * Commit 6c4d57dc9: Fix a gcc7 warning about bool * bool in abs2 default implementation.
  * Commit 89a86ed42: Fix a warning in SparseSelfAdjointView about a branch statement always evaluation to false.

## [3.3.8-rc1]

Released on September 14, 2020.

Changes since 3.3.7:

* General bug fixes
  * #1974: Fix issue when reserving an empty sparse matrix
  * #1823: Fix incorrect use of `std::abs`
  * #1788: Fix rule-of-three violations inside the stable modules. This fixes deprecated-copy warnings when compiling with GCC>=9 Also protect some additional Base-constructors from getting called by user code code (#1587)
  * #1796: Make matrix squareroot usable for Map and Ref types
  * #1281: Fix AutoDiffScalar's `make_coherent` for nested expression of constant ADs.
  * #1761: Fall back `is_integral` to `std::is_integral` in c++11 and fix `internal::is_integral<size_t/ptrdiff_t>` with MSVC 2013 and older.
  * #1741: Fix `self_adjoint*matrix`, `triangular*matrix`, and `triangular^1*matrix` with a destination having a non-trivial inner-stride
  * #1741: Fix SelfAdjointView::rankUpdate and product to triangular part for destination with non-trivial inner stride
  * #1741: Fix `C.noalias() = A*C;` with `C.innerStride()!=1`
  * #1695: Fix a numerical robustness issue in BDCSVD
  * #1692: Enable enum as sizes of Matrix and Array
  * #1689: Fix used-but-marked-unused warning
  * #1679: Avoid possible division by 0 in complex-schur
  * #1676: Fix C++17 template deduction in DenseBase
  * #1669: Fix PartialPivLU/inverse with zero-sized matrices.
  * #1557: Fix RealSchur and EigenSolver for matrices with only zeros on the diagonal.
* Performance related fixes
  * #1562: Optimize evaluation of small products of the form s*A*B by rewriting them as: s*(A.lazyProduct(B)) to save a costly temporary. Measured speedup from 2x to 5x...
  * Commit 165db26dc and 8ee2e10af: Fix performance issue with SimplicialLDLT for complexes coefficients
* Misc commits
  * Commit 5f1082d0b: Fix `QuaternionBase::cast` for quaternion map and wrapper.
  * Commit a153dbae9: Fix case issue with Lapack unit tests.
  * Commit 3d7e2a1f3: Fix possible conflict with an externally defined "real" type when using gcc-5.
  * Commit 1760432f6: Provide `numext::[u]int{32,64}_t`.
  * Commit 3d18879fc: Initialize isometric transforms like affine transforms.
  * Commit 160c0a340: Change typedefs from private to protected to fix MSVC compilation.
  * Commit 3cf273591: Fix compilation of FFTW unit test.
  * Commit 6abc9e537: Fix compilation of BLAS backend and frontend.
  * Commit 47e2f8a42: Fix real/imag namespace conflict.
  * Commit 71d0402e3: Avoid throwing in destructors.
  * Commit 0dd9643ad: Fix precision issue in SelfAdjointEigenSolver.h
  * Commit 6ed74ac97: Make digits10() return an integer.
  * Commit 841d844f9: Use pade for matrix exponential also for complex values.
  * Commit 4387298e8: Cast Index to RealScalar in SVDBase to fix an issue when RealScalar is not implicitly convertible to Index.
  * Commit fe8cd812b: Provide `EIGEN_HAS_C99_MATH` when using MSVC.
  * Commit 7c4208450: Various fixes in polynomial solver and its unit tests.
  * Commit e777674a8 and 4415d4e2d: Extend polynomial solver unit tests to complexes.
  * Commit 222ce4b49: Automatically switch between EigenSolver and ComplexEigenSolver, and fix a few Real versus Scalar issues.
  * Commit 5110d803e: Change license from LGPL to MPL2 with agreement from David Harmon. (grafted from 2df4f0024666a9085fe47f14e2290bd61676dbbd )
  * Commit 7b93328ba: Enable construction of `Ref<VectorType>` from a runtime vector.
  * Commit c28ba89fe: Fix a problem of old gcc versions having problems with recursive #pragma GCC diagnostic push/pop.
  * Commit 210d510a9: Fix compilation with expression template scalar type.
* Fixed warnings
  * Commit 14db78c53: Fix some maybe-uninitialized warnings in AmbiVector.h and test bdcsvd.
  * Commit f1b1f13d3: silent cmake warnings in Lapack CMakeLists.txt
  * Commit 8fb28db12: Rename variable which shadows class name in Polynomials module.
  * Commit f1c12d8ff: Workaround gcc's `alloc-size-larger-than=` warning in DenseStorage.h
  * Commit 6870a39fe: Hide some unused variable warnings in g++8.1 in Tensor contraction mapper.
  * Commit bb9981e24: Fix gcc 8.1 warning: "maybe use uninitialized" in std tests
  * Commit eea99eb4e: Fix always true warning with gcc 4.7in test `numext`.
  * Commit 65a6d4151: Fix nonnull-compare warning in test `geo_alignedbox`.
  * Commit 74a0c08d7: Disable ignoring attributes warning in vectorization logic test.
  * Commit 6c4d57dc9: Fix a gcc7 warning about bool * bool in abs2 default implementation.
  * Commit efd72cddc: Backport AVX512 implementation to 3.3.
  * Commit 5e484fa11: Fix StlDeque compilation issue with GCC 10.
  * Commit 89a86ed42: Fix a warning in SparseSelfAdjointView about a branch statement always evaluation to false.
  * Commit dd6de618: Fix a bug with half-precision floats on GPUs.

## [3.3.7]

Released on December 11, 2018.

Changes since 3.3.6:

* #1643: Fix compilation with GCC>=6 and compiler optimization turned off.

## [3.3.6]

Released on December 10, 2018.

Changes since 3.3.5:

* #1617: Fix triangular solve crashing for empty matrix.
* #785: Make dense Cholesky decomposition work for empty matrices.
* #1634: Remove double copy in move-ctor of non movable Matrix/Array.
* Changeset 588e1eb34eff: Workaround weird MSVC bug.
* #1637 Workaround performance regression in matrix products with gcc>=6 and clang>=6.0.
* Changeset bf0f100339c1: Fix some implicit 0 to Scalar conversions.
* #1605: Workaround ABI issue with vector types (aka `__m128`) versus scalar types (aka float).
* Changeset d1421c479baa: Fix for gcc<4.6 regarding usage of #pragma GCC diagnostic push/pop.
* Changeset c20b83b9d736: Fix conjugate-gradient for right-hand-sides with a very small magnitude.
* Changeset 281a877a3bf7: Fix product of empty arrays (returned 0 instead of 1).
* #1590: Fix collision with some system headers defining the macro FP32.
* #1584: Fix possible undefined behavior in random generation.
* Changeset d632d18db8ca: Fix fallback to BLAS for rankUpdate.
* Fixes for NVCC 9.
* Fix matrix-market IO.
* Various fixes in the doc.
* Various minor warning fixes/workarounds.

## [3.3.5]

Released on July 23, 2018.

Changes since 3.3.4:

* General bug fixes:
  * Fix GeneralizedEigenSolver when requesting for eigenvalues only (0d15855abb30)
  * #1560 fix product with a 1x1 diagonal matrix (90d7654f4a59)
  * #1543: fix linear indexing in generic block evaluation
  * Fix compilation of product with inverse transpositions (e.g., `mat * Transpositions().inverse()`) (14a13748d761)
  * #1509: fix `computeInverseWithCheck` for complexes (8be258ef0b6d)
  * #1521: avoid signalling `NaN` in hypot and make it std::complex<> friendly (a9c06b854991).
  * #1517: fix triangular product with unit diagonal and nested scaling factor: `(s*A).triangularView<UpperUnit>()*B` (a546d43bdd4f)
  * Fix compilation of stableNorm for some odd expressions as input (499e982b9281)
  * #1485: fix linking issue of non template functions (ae28c2aaeeda)
  * Fix overflow issues in BDCSVD (92060f82e1de)
  * #1468: add missing `std::` to `memcpy` (4565282592ae)
  * #1453: fix Map with non-default inner-stride but no outer-stride (af00212cf3a4)
  * Fix mixing types in sparse matrix products (7e5fcd0008bd)
  * #1544: Generate correct Q matrix in complex case (c0c410b508a1)
  * #1461: fix compilation of `Map<const Quaternion>::x()` (69652a06967d)

* Backends:
  * Fix MKL backend for symmetric eigenvalues on row-major matrices (4726d6a24f69)
  * #1527: fix support for MKL's VML (972424860545)
  * Fix incorrect ldvt in LAPACKE call from JacobiSVD (88c4604601b9)
  * Fix support for MKL's BLAS when using `MKL_DIRECT_CALL` (205731b87e19, b88c70c6ced7, 46e2367262e1)
  * Use MKL's lapacke.h header when using MKL (19bc9df6b726)

* Diagnostics:
  * #1516: add assertion for out-of-range diagonal index in `MatrixBase::diagonal(i)` (783d38b3c78c)
  * Add static assertion for fixed sizes `Ref<>` (e1203d5ceb8e)
  * Add static assertion on selfadjoint-view's UpLo parameter. (b84db94c677e, 0ffe8a819801)
  * #1479: fix failure detection in LDLT (67719139abc3)

* Compiler support:
  * #1555: compilation fix with XLC
  * Workaround MSVC 2013 ambiguous calls (1c7b59b0b5f4)
  * Adds missing `EIGEN_STRONG_INLINE` to help MSVC properly inlining small vector calculations (1ba3f10b91f2)
  * Several minor warning fixes: 3c87fc0f1042, ad6bcf0e8efc, "used uninitialized" (20efc44c5500), Wint-in-bool-context (131da2cbc695, b4f969795d1b)
  * #1428: make NEON vectorization compilable by MSVC. (* 3d1b3dbe5927, 4e1b7350182a)
  * Fix compilation and SSE support with PGI compiler (faabf000855d 90d33b09040f)
  * #1555: compilation fix with XLC (23eb37691f14)
  * #1520: workaround some `-Wfloat-equal` warnings by calling `std::equal_to` (7d9a9456ed7c)
  * Make the TensorStorage class compile with clang 3.9 (eff7001e1f0a)
  * Misc: some old compiler fixes (493691b29be1)
  * Fix MSVC warning C4290: C++ exception specification ignored except to indicate a function is not `__declspec(nothrow)` (524918622506)

* Architecture support:
  * Several AVX512 fixes for `log`, `sqrt`, `rsqrt`, non `AVX512ER` CPUs, `apply_rotation_in_the_plane` b64275e912ba cab3d626a59e 7ce234652ab9, d89b9a754371.
  * AltiVec fixes: 9450038e380d
  * NEON fixes: const-cast (e8a69835ccda), compilation of Jacobi rotations (c06cfd545b15,#1436).
  * Changeset d0658cc9d4a2: Define `pcast<>` for SSE types even when AVX is enabled. (otherwise float are silently reinterpreted as int instead of being converted)
  * #1494: makes `pmin`/`pmax` behave on Altivec/VSX as on x86 regarding NaNs (d0af83f82b19)

* Documentation:
  * Update manual pages regarding BDCSVD (#1538)
  * Add aliasing in common pitfaffs (2a5a8408fdc5)
  * Update `aligned_allocator` (21e03aef9f2b)
  * #1456: add perf recommendation for LLT and storage format (c8c154ebf130,  9aef1e23dbe0)
  * #1455: Cholesky module depends on Jacobi for rank-updates (2e6e26b851a8)
  * #1458: fix documentation of LLT and LDLT `info()` method (2a4cf4f473dd)
  * Warn about constness in `LLT::solveInPlace` (518f97b69bdf)
  * Fix lazyness of `operator*` with CUDA (c4dbb556bd36)
  * #336: improve doc for `PlainObjectBase::Map` (13dc446545fe)

* Other general improvements:
  * Enable linear indexing in generic block evaluation (31537598bf83, 5967bc3c2cdb, #1543).
  * Fix packet and alignment propagation logic of `Block<Xpr>` expressions. In particular, `(A+B).col(j)` now preserve vectorisation. (b323cc9c2c7f)
  * Several fixes regarding custom scalar type support: hypot (f8d6c791791d), boost-multiprec (acb8ef9b2478), literal casts (6bbd97f17534, 39f65d65894f),
  * LLT: avoid making a copy when decomposing in place (2f7e28920f4e), const the arg to `solveInPlace()` to allow passing `.transpose()`, `.block()`, etc. (c31c0090e998).
  * Add possibility to overwrite `EIGEN_STRONG_INLINE` (7094bbdf3f4d)
  * #1528: use `numeric_limits::min()` instead of `1/highest()` that might underflow (dd823c64ade7)
  * #1532: disable `stl::*_negate` in C++17 (they are deprecated) (88e9452099d5)
  * Add C++11 `max_digits10` for half (faf74dde8ed1)
  * Make sparse QR result sizes consistent with dense QR (4638bc4d0f96)

* Unsupported/unit-tests/cmake/unvisible internals/etc.
  * #1484: restore deleted line for 128 bits long doubles, and improve dispatching logic. (dffc0f957f19)
  * #1462: remove all occurences of the deprecated `__CUDACC_VER__` macro by introducing `EIGEN_CUDACC_VER` (a201b8438d36)
  * Changeset 2722aa8eb93f: Fix oversharding bug in parallelFor.
  * Changeset ea1db80eab46: commit 45e9c9996da790b55ed9c4b0dfeae49492ac5c46 (HEAD -> memory_fix)
  * Changeset 350957be012c: Fix int versus Index
  * Changeset 424038431015: fix linking issue
  * Changeset 3f938790b7e0: Fix short vs long
  * Changeset ba14974d054a: Fix cmake scripts with no fortran compiler
  * Changeset 2ac088501976: add cmake-option to enable/disable creation of tests
  * Changeset 56996c54158b: Use col method for column-major matrix
  * Changeset 762373ca9793: #1449: fix `redux_3` unit test
  * Changeset eda96fd2fa30: Fix uninitialized output argument.
  * Changeset 75a12dff8ca4: Handle min/max/inf/etc issue in `cuda_fp16.h` directly in `test/main.h`
  * Changeset 568614bf79b8: Add tests for sparseQR results (value and size) covering bugs 1522 and 1544
  * Changeset 12c9ece47d14: `SelfAdjointView<...,Mode>` causes a static assert since commit c73a77e47db8
  * Changeset 899fd2ef704f: weird compilation issue in `mapped_matrix.cpp`

## [3.3.4]

Released on June 15, 2017.

Changes since 3.3.3:

* General:
  * Improve speed of Jacobi rotation when mixing complex and real types.
  * #1405: enable StrictlyLower/StrictlyUpper triangularView as the destination of matrix*matrix products.
  * UmfPack support: enable changes in the control settings and add report functions.
  * #1423: fix LSCG's Jacobi preconditioner for row-major matrices.
  * #1424: fix compilation issue with abs and unsigned integers as scalar type.
  * #1410: fix lvalue propagation of Array/Matrix-Wrapper with a const nested expression.
  * #1403: fix several implicit scalar type conversion making SVD decompositions compatible with ceres::Jet.
  * Fix some real-to-scalar-to-real useless conversions in `ColPivHouseholderQR`.
* Regressions:
  * Fix `dense * sparse_selfadjoint_view` product.
  * #1417: make LinSpace compatible with std::complex.
  * #1400: fix `stableNorm` alignment issue with `EIGEN_DONT_ALIGN_STATICALLY`.
  * #1411: fix alignment issue in `Quaternion`.
  * Fix compilation of operations between nested Arrays.
  * #1435: fix aliasing issue in expressions like: `A = C - B*A`.
* Others:
  * Fix compilation with gcc 4.3 and ARM NEON.
  * Fix prefetches on ARM64 and ARM32.
  * Fix out-of-bounds check in COLAMD.
  * Few minor fixes regarding nvcc/CUDA support, including #1396.
  * Improve cmake scripts for Pastix and BLAS detection.
  * #1401: fix compilation of `cond ? x : -x` with `x` an `AutoDiffScalar`
  * Fix compilation of matrix log with Map as input.
  * Add specializations of `std::numeric_limits` for `Eigen::half` and and `AutoDiffScalar`
  * Fix compilation of streaming nested Array, i.e., `std::cout << Array<Array<...>>`

## [3.3.3]

Released on February 21, 2017.

Changes since 3.3.2:

* General:
  * Improve multi-threading heuristic for matrix products with a small number of columns.
  * #1395: fix compilation of JacobiSVD for vectors type.
  * Fix pruning in `(sparse*sparse).pruned()` when the result is nearly dense.
  * #1382: move using `std::size_t`/`ptrdiff_t` to Eigen's namespace.
  * Fix compilation and inlining when using clang-cl with visual studio.
  * #1392: fix `#include <Eigen/Sparse>` with mpl2-only.
* Regressions:
  * #1379: fix compilation in `sparse*diagonal*dense` with OpenMP.
  * #1373: add missing assertion on size mismatch with compound assignment operators (e.g., mat += mat.col(j))
  * #1375: fix cmake installation with cmake 2.8.
  * #1383: fix LinSpaced with integers for `LinPspaced(n,0,n-1)` with `n==0` or the `high<low` case.
  * #1381: fix `sparse.diagonal()` used as a rvalue.
  * #1384: fix evaluation of "sparse/scalar" that used the wrong evaluation path.
  * #478: fix regression in the eigen decomposition of zero matrices.
  * Fix a compilation issue with MSVC regarding the usage of `CUDACC_VER`
  * #1393: enable Matrix/Array explicit constructor from types with conversion operators.
  * #1394: fix compilation of `SelfAdjointEigenSolver<Matrix>(sparse*sparse)`.
* Others:
  * Fix ARM NEON wrapper for 16 byte systems.
  * #1391: include IO.h before DenseBase to enable its usage in DenseBase plugins.
  * #1389: fix std containers support with MSVC and AVX.
  * #1380: fix matrix exponential with `Map<>`.
  * #1369: fix type mismatch warning with OpenMP.
  * Fix usage of `size_t` instead of Index in sefl-adjoint `matrix * vector`
  * #1378: fix doc (`DiagonalIndex` vs `Diagonal`).

## [3.3.2]

Released on January 18, 2017.

Changes since 3.3.1:

* General:
  * Add `transpose`, `adjoint`, `conjugate` methods to `SelfAdjointView` (useful to write generic code)
  * Make sure that `HyperPlane::transform` maintains a unit normal vector in the Affine case.
  * Several documentation improvements, including: several doxygen workarounds, #1336, #1370, StorageIndex, selfadjointView, sparseView(), sparse triangular solve, AsciiQuickReference.txt, ...
* Regressions:
  * #1358: fix compilation of `sparse += sparse.selfadjointView()`.
  * #1359: fix compilation of `sparse /=scalar`, `sparse *=scalar`, and `col_major_sparse.row() *= scalar`.
  * #1361:  fix compilation of mat=perm.inverse()
  * Some fixes in sparse coeff-wise binary operations: add missing `.outer()` member to iterators, and properly report storage order.
  * Fix aliasing issue in code as `A.triangularView() = B*A.sefladjointView()*B.adjoint()`
* Performance:
  * Improve code generation for `mat*vec` on some compilers.
  * Optimize horizontal adds in SSE3 and AVX.
  * Speed up row-major TRSM (triangular solve with a matrix as right-hand-side) by reverting `vec/y` to `vec*(1/y)`. The rationale is:
    * div is extremely costly
    * this is consistent with the column-major case
    * this is consistent with all other BLAS implementations
  * Remove one temporary in `SparseLU::solve()`
* Others:
  * Fix BLAS backend for symmetric rank K updates.
  * #1360: fix `-0` vs `+0` issue with Altivec
  * #1363: fix mingw's ABI issue
  * #1367: fix compilation with gcc 4.1.
  * Fix ABI issue with AVX and old gcc versions.
  * Fix some warnings with ICC, Power8, etc.
  * Fix compilation with MSVC 2017

## [3.3.1]

Released on December 06, 2016.

Changes since 3.3.0:

* #426: add operators `&&` and `||` to dense and sparse matrices (only dense arrays were supported)
* #1319: add support for CMake's imported targets.
* #1343: fix compilation regression in `array = matrix_product` and `mat+=selfadjoint_view`
* Fix regression in assignment of sparse block to sparse block.
* Fix a memory leak in `Ref<SparseMatrix>` and `Ref<SparseVector>`.
* #1351: fix compilation of random with old compilers.
* Fix a performance regression in (mat*mat)*vec for which mat*mat was evaluated multiple times.
* Fix a regression in `SparseMatrix::ReverseInnerIterator`
* Fix performance issue of products for dynamic size matrices with fixed max size.
* implement `float`/`std::complex<float>` for ZVector
* Some fixes for expression-template scalar-types
* #1356: fix undefined behavior with nullptr.
* Workaround some compilation errors with MSVC and MSVC/clr
* #1348: document `EIGEN_MAX_ALIGN_BYTES` and `EIGEN_MAX_STATIC_ALIGN_BYTES`, and reflect in the doc that `EIGEN_DONT_ALIGN*` are deprecated.
* Bugs #1346,#1347: make Eigen's installation relocatable.
* Fix some harmless compilation warnings.

## [3.3]

Released on November 10, 2016

For a comprehensive list of change since the 3.2 series, see this [page](https://www.eigen.tuxfamily.org/index.php?title=3.3).


Main changes since 3.3-rc2:
* Fix regression in printing sparse expressions.
* Fix sparse solvers when using a SparseVector as the result and/or right-hand-side.

## [3.3-rc2]

Released on November 04, 2016

For a comprehensive list of change since the 3.2 series, see this [page](https://www.eigen.tuxfamily.org/index.php?title=3.3).

Main changes since 3.3-rc1:
* Core module
  * Add supports for AVX512 SIMD instruction set.
  * Bugs #698 and  #1004: Improve numerical robustness of LinSpaced methods for both real and integer scalar types ([details](http://eigen.tuxfamily.org/dox-devel/classEigen_1_1DenseBase.html#aaef589c1dbd7fad93f97bd3fa1b1e768)).
  * Fix a regression in `X = (X*X.transpose())/scalar` with `X` rectangular (`X` was resized before the evaluation).
  * #1311: Fix alignment logic in some cases of `(scalar*small).lazyProduct(small)`
  * #1317:  fix a performance regression from 3.2 with clang and some nested block expressions.
  * #1308: fix compilation of some small products involving nullary-expressions.
  * #1333: Fix a regression with `mat.array().sum()`
  * #1328: Fix a compilation issue with old compilers introduced in 3.3-rc1.
  * #1325: Fix compilation on NEON with clang
  * Properly handle negative inputs in vectorized sqrt.
  * Improve cost-model to determine the ideal number of threads in matrix-matrix products.
* Geometry module
  * #1304: Fix `Projective * scaling` and `Projective *= scaling`.
  * #1310: Workaround a compilation regression from 3.2 regarding triangular * homogeneous
  * #1312: Quaternion to AxisAngle conversion now ensures the angle will be in the range `[0,pi]`. This also increases accuracy when `q_w` is negative.
* Tensor module
  * Add support for OpenCL.
  * Improved random number generation.
* Other
  * #1330: SuiteSparse, explicitly handle the fact that Cholmod does not support single precision float numbers.
  * SuiteSparse, fix SPQR for rectangular matrices
  * Fix compilation of `qr.inverse()` for column and full pivoting variants

## [3.2.10]

Released on October 04, 2016

Changes since 3.2.9:

Main fixes and improvements:
* #1272: Core module, improve comma-initializer in handling empty matrices.
* #1276: Core module, remove all references to `std::binder*` when C++11 is enabled (those are deprecated).
* #1304: Geometry module, fix `Projective * scaling` and `Projective *= scaling`.
* #1300: Sparse module, compilation fix for some block expression and SPQR support.
* Sparse module, fix support for row (resp. column) of a column-major (resp. row-major) sparse matrix.
* LU module, fix 4x4 matrix inversion for non-linear destinations.
* Core module, a few fixes regarding custom complex types.
* #1275: backported improved random generator from 3.3
* Workaround MSVC 2013 compilation issue in Reverse
* Fix UmfPackLU constructor for expressions.
* #1273: fix shortcoming in eigen_assert macro
* #1249:  disable the use of `__builtin_prefetch` for compilers other than GCC, clang, and ICC.
* #1265: fix doc of QR decompositions

## [3.3-rc1]

Released on September 22, 2016

For a comprehensive list of change since the 3.2 series, see this [page](https://www.eigen.tuxfamily.org/index.php?title=3.3).

Main changes since 3.3-beta2:

* New features and improvements:
  * #645: implement eigenvector computation in GeneralizedEigenSolver
  * #1271: add a `SparseMatrix::coeffs()` method returning a linear view of the non-zeros (for compressed mode only).
  * #1286: Improve support for custom nullary functors: now the functor only has to expose one relevant operator among `f()`, `f(i)`, `f(i,j)`.
  * #1272: improve comma-initializer in handling empty matrices.
  * #1268: detect failure in LDLT and report them through info()
  * Add support for scalar factor in sparse-selfadjoint `*` dense products, and enable `+=`/`-=` assignment for such products.
  * Remove temporaries in product expressions matching `d?=a-b*c` by rewriting them as `d?=a; d?=b*c;`
  * Vectorization improvements for some small product cases.

* Doc:
  * #1265: fix outdated doc in QR facto
  * #828: improve documentation of sparse block methods, and sparse unary methods.
  * Improve documentation regarding nullary functors, and add an example demonstrating the use of nullary expression to perform fancy matrix manipulations.
  * Doc: explain how to use Accelerate as a LAPACK backend.

* Bug fixes and internal changes:
  * Numerous fixes regarding support for custom complex types.
  * #1273: fix shortcoming in `eigen_assert` macro
  * #1278: code formatting
  * #1270: by-pass hand written `pmadd` with recent clang versions.
  * #1282: fix implicit double to float conversion warning
  * #1167: simplify installation of header files using cmake's `install(DIRECTORY ...)` command
  * #1283: fix products involving an uncommon `vector.block(..)` expressions.
  * #1285: fix a minor regression in LU factorization.
  * JacobiSVD now consider any denormal number as zero.
  * Numerous fixes regarding support for CUDA/NVCC (including bugs #1266)
  * Fix an alignment issue in gemv, symv, and trmv for statically allocated temporaries.
  * Fix 4x4 matrix inversion for non-linear destinations.
  * Numerous improvements and fixes in half precision scalar type.
  * Fix vectorization logic for coeff-based product for some corner cases
  * Bugs #1260, #1261, #1264: several fixes in AutoDiffScalar.

## [3.3-beta2]

Released on July 26, 2016

For a comprehensive list of change since the 3.2 series, see this [page](https://www.eigen.tuxfamily.org/index.php?title=3.3).

Main changes since 3.3-beta1:

* Dense features:
  * #707: Add support for [inplace](http://eigen.tuxfamily.org/dox-devel/group__InplaceDecomposition.html) dense decompositions.
  * #977: normalize(d) left the input unchanged if its norm is 0 or too close to 0.
  * #977: add stableNormalize[d] methods: they are analogues to normalize[d] but with carefull handling of under/over-flow.
  * #279: Implement generic scalar*expr and expr*scalar operators. This is especially useful for custom scalar types, e.g., to enable `float*expr<multi_prec>` without conversion.
  * New unsupported/Eigen/SpecialFunctions module providing the following coefficient-wise math functions: erf, erfc, lgamma, digamma, polygamma, igamma, igammac, zeta, betainc.
  * Add fast reciprocal condition estimators in dense LU and Cholesky factorizations.
  * #1230: add support for `SelfadjointView::triangularView()` and `diagonal()`
  * #823: add `Quaternion::UnitRandom()` method.
  * Add exclusive or operator for bool arrays.
  * Relax dependency on MKL for `EIGEN_USE_BLAS` and `EIGEN_USE_LAPACKE`: any BLAS and LAPACK libraries can now be used as backend (see  [doc](http://eigen.tuxfamily.org/dox-devel/TopicUsingBlasLapack.html)).
  * Add static assertion to `x()`, `y()`, `z()`, `w()` accessors
  * #51: avoid dynamic memory allocation in fixed-size rank-updates, matrix products evaluated within a triangular part, and selfadjoint times matrix products.
  * #696: enable zero-sized block at compile-time by relaxing the respective assertion
  * #779: in `Map`, allows non aligned buffers for buffers smaller than the requested alignment.
  * Add a complete orthogonal decomposition class: [CompleteOrthogonalDecomposition](http://eigen.tuxfamily.org/dox-devel/classEigen_1_1CompleteOrthogonalDecomposition.html)
  * Improve robustness of JacoviSVD with complexes (underflow, noise amplification in complex to real conversion, compare off-diagonal entries to the current biggest diagonal entry instead of the global biggest, null inputs).
  * Change Eigen's ColPivHouseholderQR to use a numerically stable norm downdate formula (changeset 9da6c621d055)
  * #1214: consider denormals as zero in D&C SVD. This also workaround infinite binary search when compiling with ICC's unsafe optimizations.
  * Add log1p for arrays.
  * #1193: now `lpNorm<Infinity>` supports empty inputs.
  * #1151: remove useless critical section in matrix product
  * Add missing non-const reverse method in `VectorwiseOp` (e.g., this enables `A.rowwise().reverse() = ...`)
  * Update RealQZ to reduce 2x2 diagonal block of T corresponding to non reduced diagonal block of S to positive diagonal form.

* Sparse features:
  * #632: add support for "dense +/- sparse" operations. The current implementation is based on SparseView to make the dense subexpression compatible with the sparse one.
  * #1095: add Cholmod*::logDeterminant/determinant functions.
  * Add `SparseVector::conservativeResize()` method
  * #946: generalize `Cholmod::solve` to handle any rhs expressions.
  * #1150: make IncompleteCholesky more robust by iteratively increase the shift until the factorization succeed (with at most 10 attempts)
  * #557: make InnerIterator of sparse storage types more versatile by adding default-ctor, copy-ctor/assignment.
  * #694: document that `SparseQR::matrixR` is not sorted.
  * Block expressions now expose all the information defining the block.
  * Fix GMRES returned error.
  * #1119: add support for SuperLU 5

* Performance improvements:
  *  #256: enable vectorization with unaligned loads/stores. This concerns all architectures and all sizes. This new behavior can be disabled by defining `EIGEN_UNALIGNED_VECTORIZE=0`
  * Add support for s390x(zEC13) ZVECTOR instruction set.
  * Optimize mixing of real with complex matrices by avoiding a conversion from real to complex when the real types do not match exactly. (see bccae23d7018)
  * Speedup square roots in performance critical methods such as norm, normalize(d).
  * #1154: use dynamic scheduling for spmv products.
  * #667,  #1181: improve perf with MSVC and ICC through `FORCE_INLINE`
  * Improve heuristics for switching between coeff-based and general matrix product implementation at compile-time.
  * Add vectorization of tanh for float (SSE/AVX)
  * Improve cost estimates of numerous functors.
  * Numerous improvements regarding half-packet vectorization: coeff-based products (e.g.,  `Matrix4f*Vector4f` is now vectorized again when using AVX), reductions, linear vs inner traversals.
  * Fix performance regression: with AVX, unaligned stores were emitted instead of aligned ones for fixed size assignment.
  * #1201: optimize `affine*vector` products.
  * #1191: prevent Clang/ARM from rewriting VMLA into VMUL+VADD.
  * Small speed-up in `Quaternion::slerp`.
  * #1201:  improve code generation of affine*vec with MSVC

* Doc:
  * Add [documentation and exemple](http://eigen.tuxfamily.org/dox-devel/group__MatrixfreeSolverExample.html) for matrix-free solving.
  * A new documentation [page](http://eigen.tuxfamily.org/dox-devel/group__CoeffwiseMathFunctions.html) summarizing coefficient-wise math functions.
  * #1144: clarify the doc about aliasing in case of resizing and matrix product.
  * A new documentation [page](http://eigen.tuxfamily.org/dox-devel/group__DenseDecompositionBenchmark.html) summarizing the true performance of Eigen's dense decomposition algorithms.

* Misc improvements:
  * Allow one generic scalar argument for all binary operators/functions.
  * Add a `EIGEN_MAX_CPP_VER` option to limit the C++ version to be used, as well as [fine grained options](http://eigen.tuxfamily.org/dox-devel/TopicPreprocessorDirectives.html#title1) to control individual language features.
  * A new [ScalarBinaryOpTraits](http://eigen.tuxfamily.org/dox-devel/structEigen_1_1ScalarBinaryOpTraits.html) class allowing to control how different scalar types are mixed.
  * `NumTraits` now exposes a `digits10` function making `internal::significant_decimals_impl` deprecated.
  * Countless improvements and fixes in Tensors module.
  * #1156: fix several function declarations whose arguments were passed by value instead of being passed by reference
  * #1164: fix `std::list` and `std::deque` specializations such that our aligned allocator is automatically activated only when the user did not specified an allocator (or specified the default std::allocator).
  * #795: mention allocate_shared as a candidate for aligned_allocator.
  * #1170: skip calls to memcpy/memmove for empty inputs.
  * #1203: by-pass large stack-allocation in stableNorm if `EIGEN_STACK_ALLOCATION_LIMIT` is too small
  * Improve constness of blas level-2/3 interface.
  * Implement stricter argument checking for SYRK and SY2K
  * Countless improvements in the documentations.
  * Internal: Remove `posix_memalign`, `_mm_malloc`, and `_aligned_malloc` special paths.
  * Internal: Remove custom unaligned loads for SSE
  * Internal: introduce `[U]IntPtr` types to be used for casting pointers to integers.
  * Internal: `NumTraits` now exposes `infinity()`
  * Internal: `EvalBeforeNestingBit` is now deprecated.
  * #1213: workaround gcc linking issue with anonymous enums.
  * #1242: fix comma initializer with empty matrices.
  * #725: make move ctor/assignment noexcept
  * Add minimal support for `Array<string>`
  * Improve support for custom scalar types bases on expression template (e.g., `boost::multiprecision::number<>` type). All dense decompositions are successfully tested.

* Most visible fixes:
  * #1144: fix regression in `x=y+A*x`  (aliasing issue)
  * #1140: fix usage of `_mm256_set_m128` and `_mm256_setr_m128` in AVX support
  * #1141: fix some missing initializations in CholmodSupport
  * #1143: workaround gcc bug #10200
  * #1145, #1147,  #1148,  #1149: numerous fixes in PastixSupport
  * #1153: don't rely on `__GXX_EXPERIMENTAL_CXX0X__` to detect C++11 support.
  * #1152: fix data race in static initialization of blas routines.
  * fix some buffer overflow in product block size computation.
  * #96,  #1006: fix by value argument in result_of
  * #178: clean several `const_cast`.
  * Fix compilation in `ceil()` function.
  * #698: fix linspaced for integer types.
  * #1161: fix division by zero for huge scalar types in cache block size computation.
  * #774: fix a numerical issue in Umeyama algorithm that produced unwanted reflections.
  * #901: fix triangular-view with unit diagonal of sparse rectangular matrices.
  * #1166: fix shortcoming in gemv when the destination is not a vector at compile-time.
  * #1172: make `SparseMatrix::valuePtr` and `innerIndexPtr` properly return null for empty matrices
  * #537:  fix a compilation issue in Quaternion with Apples's compiler
  * #1186: fix usage of `vreinterpretq_u64_f64` (NEON)
  * #1190: fix usage of `__ARM_FEATURE_FMA` on Clang/ARM
  * #1189:  fix pow/atan2 compilation for `AutoDiffScalar`
  * Fix detection of same input-output when applied permutations, or on solve operations.
  * Workaround a division by zero in triangular solve when outerstride==0
  * Fix compilation of s`parse.cast<>().transpose()`.
  * Fix double-conversion warnings throughout the code.
  *  #1207: fix logical-op warnings
  *  #1222,  #1223: fix compilation in `AutoDiffScalar`.
  *  #1229: fix usage of `Derived::Options` in MatrixFunctions.
  *  #1224: fix regression in `(dense*dense).sparseView()`.
  *  #1231: fix compilation regression regarding complex_array/=real_array.
  *  #1221: disable gcc 6 warning: ignoring attributes on template argument.
  * Workaround clang/llvm bug 27908
  *  #1236: fix possible integer overflow in sparse matrix product.
  *  #1238: fix `SparseMatrix::sum()` overload for un-compressed mode
  * #1240: remove any assumption on NEON vector types
  * Improves support for MKL's PARDISO solver.
  * Fix support for Visual 2010.
  * Fix support for gcc 4.1.
  * Fix support for ICC 2016
  * Various Altivec/VSX fixes: exp, support for clang 3.9,
  *  #1258: fix compilation of `Map<SparseMatrix>::coeffRef`
  *  #1249: fix compilation with compilers that do not support `__builtin_prefetch` .
  *  #1250: fix `pow()` for `AutoDiffScalar` with custom nested scalar type.

## [3.2.9]

Released on July 18, 2016

Changes since 3.2.8:

* Main fixes and improvements:
  * Improve numerical robustness of JacobiSVD (backported from 3.3)
  * #1017: prevents underflows in `makeHouseholder`
  * Fix numerical accuracy issue in the extraction of complex eigenvalue pairs in real generalized eigenvalue problems.
  * Fix support for `vector.homogeneous().asDiagonal()`
  * #1238: fix `SparseMatrix::sum()` overload for un-compressed mode
  * #1213: workaround gcc linking issue with anonymous enums.
  * #1236: fix possible integer overflow in sparse-sparse product
  * Improve detection of identical matrices when applying a permutation (e.g., `mat = perm * mat`)
  * Fix usage of nesting type in blas_traits. In practice, this fixes compilation of expressions such as `A*(A*A)^T`
  * CMake: fixes support of Ninja generator
  * Add a StorageIndex typedef to sparse matrices and expressions to ease porting code to 3.3 (see http://eigen.tuxfamily.org/index.php?title=3.3#Index_typedef)
  * #1200: make `aligned_allocator` c++11 compatible (backported from 3.3)
  * #1182: improve generality of `abs2` (backported from 3.3)
  * #537: fix compilation of Quaternion with Apples's compiler
  * #1176: allow products between compatible scalar types
  * #1172: make `valuePtr` and `innerIndexPtr` properly return null for empty sparse matrices.
  * #1170: skip calls to `memcpy`/`memmove` for empty inputs.

* Others:
  * #1242: fix comma initializer with empty matrices.
  * Improves support for MKL's PARDISO solver.
  * Fix a compilation issue with Pastix solver.
  * Add some missing explicit scalar conversions
  * Fix a compilation issue with matrix exponential (unsupported MatrixFunctions module).
  * #734: fix a storage order issue in unsupported Spline module
  * #1222: fix a compilation issue in AutoDiffScalar
  * #1221: shutdown some GCC6's warnings.
  * #1175: fix index type conversion warnings in sparse to dense conversion.

## [3.2.8]

Released on February 16, 2016

Changes since 3.2.7:

* Main fixes and improvements:
  * Make `FullPivLU::solve` use `rank()` instead of `nonzeroPivots()`.
  * Add `EIGEN_MAPBASE_PLUGIN`
  * #1166: fix issue in matrix-vector products when the destination is not a vector at compile-time.
  * #1100: Improve cmake/pkg-config support.
  * #1113: fix name conflict with C99's "I".
  * Add missing delete operator overloads in `EIGEN_MAKE_ALIGNED_OPERATOR_NEW`
  * Fix `(A*B).maxCoeff(i)` and similar.
  * Workaround an ICE with VC2015 Update1 x64.
  * #1156: fix several function declarations whose arguments were passed by value instead of being passed by reference
  * #1164: fix `std::list` and `std::deque` specializations such that our aligned allocator is automatically activatived only when the user did not specified an allocator (or specified the default `std::allocator`).

* Others:
  * Fix BLAS backend (aka MKL) for empty matrix products.
  * #1134: fix JacobiSVD pre-allocation.
  * #1111: fix infinite recursion in `sparse_column_major.row(i).nonZeros()` (it now produces a compilation error)
  * #1106: workaround a compilation issue in Sparse module for msvc-icc combo
  * #1153: remove the usage of `__GXX_EXPERIMENTAL_CXX0X__` to detect C++11 support
  * #1143: work-around gcc bug in COLAMD
  * Improve support for matrix products with empty factors.
  * Fix and clarify documentation of Transform wrt `operator*(MatrixBase)`
  * Add a matrix-free conjugate gradient example.
  * Fix cost computation in CwiseUnaryView (internal)
  * Remove custom unaligned loads for SSE.
  * Some warning fixes.
  * Several other documentation clarifications.

## [3.3-beta1]

Released on December 16, 2015

For a comprehensive list of change since the 3.2 series, see this [page](https://www.eigen.tuxfamily.org/index.php?title=3.3).

Main changes since 3.3-alpha1:

* Dense features:
  * Add `LU::transpose().solve()` and `LU::adjoint().solve()` API.
  * Add `Array::rsqrt()` method as a more efficient shorcut for `sqrt().inverse()`.
  * Add `Array::sign()` method for real and complexes.
  * Add `lgamma`, `erf`, and `erfc` functions for arrays.
  * Add support for row/col-wise `lpNorm()`.
  * Add missing `Rotation2D::operator=(Matrix2x2)`.
  * Add support for `permutation * homogenous`.
  * Improve numerical accuracy in LLT and triangular solve by using true scalar divisions (instead of x * (1/y)).
  * Add `EIGEN_MAPBASE_PLUGIN` and `EIGEN_QUATERNION_PLUGIN`.
  *  #1074: forbid the creation of PlainObjectBase objects.

* Sparse features:
  * Add IncompleteCholesky preconditioner.
  * Improve support for [matrix-free iterative solvers](http://eigen.tuxfamily.org/dox/group__MatrixfreeSolverExample.html)
  * Extend `setFromTriplets` API to allow passing a functor object controlling how to collapse duplicated entries.
  * #918: add access to UmfPack return code and parameters.
  * Add support for `dense.cwiseProduct(sparse)`, thus enabling `(dense*sparse).diagonal()` expressions.
  * Add support to directly evaluate the product of two sparse matrices within a dense matrix.
  * #1064: add support for `Ref<SparseVector>`.
  * Add supports for real mul/div `sparse<complex>` operations.
  * #1086: replace deprecated `UF_long` by `SuiteSparse_long`.
  * Make `Ref<SparseMatrix>` more versatile.

* Performance improvements:
  * #1115: enable static alignment and thus small size vectorization on ARM.
  * Add temporary-free evaluation of `D.nolias() *= C + A*B`.
  * Add vectorization of round, ceil and floor for SSE4.1/AVX.
  * Optimize assignment into a `Block<SparseMatrix>` by using Ref and avoiding useless updates in non-compressed mode. This make row-by-row filling of a row-major sparse matrix very efficient.
  * Improve internal cost model leading to faster code in some cases (see changeset 1bcb41187a45).
  * #1090: improve redux evaluation logic.
  * Enable unaligned vectorization of small fixed size matrix products.

* Misc improvements:
  * Improve support for `isfinite`/`isnan`/`isinf` in fast-math mode.
  * Make the IterativeLinearSolvers module compatible with MPL2-only mode by defaulting to COLAMDOrdering and NaturalOrdering for ILUT and ILLT respectively.
  * Avoid any OpenMP calls if multi-threading is explicitly disabled at runtime.
  * Make abs2 compatible with custom complex types.
  * #1109: use noexcept instead of throw for C++11 compilers.
  * #1100: Improve cmake/pkg-config support.
  * Countless improvements and fixes in Tensors module.

* Most visible fixes:
  * #1105: fix default preallocation when moving from compressed to uncompressed mode in SparseMatrix.
  * Fix UmfPackLU constructor for expressions.
  * Fix degenerate cases in syrk and trsm BLAS API.
  * Fix matrix to quaternion (and angleaxis) conversion for matrix expression.
  * Fix compilation of sparse-triangular to dense assignment.
  * Fix several minor performance issues in the nesting of matrix products.
  * #1092: fix iterative solver ctors for expressions as input.
  * #1099: fix missing include for CUDA.
  * #1102: fix multiple definition linking issue.
  * #1088: fix setIdenity for non-compressed sparse-matrix.
  * Fix `SparseMatrix::insert`/`coeffRef` for non-empty compressed matrix.
  * #1113: fix name conflict with C99's "I".
  * #1075: fix `AlignedBox::sample` for runtime dimension.
  * #1103: fix NEON vectorization of `complex<double>` multiplication.
  * #1134: fix JacobiSVD pre-allocation.
  * Fix ICE with VC2015 Update1.
  * Improve cmake install scripts.

## [3.2.7]

Released on November 5, 2015

Changes since 3.2.6:

* Main fixes and improvements:
  * Add support for `dense.cwiseProduct(sparse)`.
  * Fix a regression regarding `(dense*sparse).diagonal()`.
  * Make the `IterativeLinearSolvers` module compatible with MPL2-only mode by defaulting to `COLAMDOrdering` and `NaturalOrdering` for ILUT and ILLT respectively.
  * #266: backport support for c++11 move semantic
  * `operator/=(Scalar)` now performs a true division (instead of `mat*(1/s)`)
  * Improve numerical accuracy in LLT and triangular solve by using true scalar divisions (instead of `mat * (1/s)`)
  * #1092: fix iterative solver constructors for expressions as input
  * #1088: fix `setIdenity` for non-compressed sparse-matrix
  * #1086: add support for recent SuiteSparse versions

* Others:
  * Add overloads for real-scalar times `SparseMatrix<complex>` operations. This avoids real to complex conversions, and also fixes a compilation issue with MSVC.
  * Use explicit Scalar types for AngleAxis initialization
  * Fix several shortcomings in cost computation (avoid multiple re-evaluation in some very rare cases).
  * #1090: fix a shortcoming in redux logic for which slice-vectorization plus unrolling might happen.
  * Fix compilation issue with MSVC by backporting `DenseStorage::operator=` from devel branch.
  * #1063: fix nesting of unsupported/AutoDiffScalar to prevent dead references when computing second-order derivatives
  * #1100: remove explicit `CMAKE_INSTALL_PREFIX` prefix to conform to cmake install's `DESTINATION` parameter.
  * unsupported/ArpackSupport is now properly installed by make install.
  * #1080: warning fixes

## [3.2.6]

Released on October 1, 2015

Changes since 3.2.5:

* fix some compilation issues with MSVC 2013, including bugs #1000 and #1057
* SparseLU: fixes to support `EIGEN_DEFAULT_TO_ROW_MAJOR` (#1053), and for empty (#1026) and some structurally rank deficient matrices (#792)
* #1075: fix `AlignedBox::sample()` for Dynamic dimension
* fix regression in AMD ordering when a column has only one off-diagonal non-zero (used in sparse Cholesky)
* fix Jacobi preconditioner with zero diagonal entries
* fix Quaternion identity initialization for non-implicitly convertible types
* #1059: fix `predux_max<Packet4i>` for NEON
* #1039: fix some issues when redefining `EIGEN_DEFAULT_DENSE_INDEX_TYPE`
* #1062: fix SelfAdjointEigenSolver for RowMajor matrices
* MKL: fix support for the 11.2 version, and fix a naming conflict (#1067)
  * #1033: explicit type conversion from 0 to RealScalar

## [3.3-alpha1]

Released on September 4, 2015

See the [announcement](https://www.eigen.tuxfamily.org/index.php?title=3.3).

## [3.2.5]

Released on June 16, 2015

Changes since 3.2.4:

* Changes with main impact:
  * Improve robustness of SimplicialLDLT to semidefinite problems by correctly handling structural zeros in AMD reordering
  * Re-enable supernodes in SparseLU (fix a performance regression in SparseLU)
  * Use zero guess in `ConjugateGradients::solve`
  * Add `PermutationMatrix::determinant` method
  * Fix `SparseLU::signDeterminant()` method, and add a SparseLU::determinant() method
  * Allows Lower|Upper as a template argument of CG and MINRES: in this case the full matrix will be considered
  * #872: remove usage of std::bind* functions (deprecated in c++11)

* Numerical robustness improvements:
  * #1014: improve numerical robustness of the 3x3 direct eigenvalue solver
  * #1013: fix 2x2 direct eigenvalue solver for identical eigenvalues
  * #824: improve accuracy of `Quaternion::angularDistance`
  * #941: fix an accuracy issue in ColPivHouseholderQR by continuing the decomposition on a small pivot
  * #933: improve numerical robustness in RealSchur
  * Fix default threshold value in SPQR

* Other changes:
  * Fix usage of `EIGEN_NO_AUTOMATIC_RESIZING`
  * Improved support for custom scalar types in SparseLU
  * Improve cygwin compatibility
  * #650: fix an issue with sparse-dense product and rowmajor matrices
  * #704: fix MKL support (HouseholderQR)
  * #705: fix handling of Lapack potrf return code (LLT)
  * #714: fix matrix product with OpenMP support
  * #949: add static assertions for incompatible scalar types in many of the dense decompositions
  * #957,  #1000: workaround MSVC/ICC compilation issues when using sparse blocks
  * #969: fix ambiguous calls to Ref
  * #972, #986: add support for coefficient-based product with 0 depth
  * #980: fix taking a row (resp. column) of a column-major (resp. row-major) sparse matrix
  * #983: fix an alignement issue in Quaternion
  * #985: fix RealQZ when either matrix had zero rows or columns
  * #987: fix alignement guess in diagonal product
  * #993: fix a pitfall with matrix.inverse()
  * #996, #1016: fix scalar conversions
  * #1003: fix handling of pointers non aligned on scalar boundary in slice-vectorization
  * #1010: fix member initialization in IncompleteLUT
  * #1012: enable alloca on Mac OS or if alloca is defined as macro
  * Doc and build system: #733, #914, #952,  #961, #999

## [3.2.4]

Released on January 21, 2015

Changes since 3.2.3:

* Fix compilation regression in Rotation2D
* #920: fix compilation issue with MSVC 2015.
* #921: fix utilization of bitwise operation on enums in `first_aligned`.
* Fix compilation with NEON on some platforms.

## [3.2.3]

Released on December 16, 2014

Changes since 3.2.2:

* Core:
  * Enable `Mx0 * 0xN` matrix products.
  * #859: fix returned values for vectorized versions of `exp(NaN)`, `log(NaN)`, `sqrt(NaN)` and `sqrt(-1)`.
  * #879: tri1 = mat * tri2 was compiling and running incorrectly if tri2 was not numerically triangular. Workaround the issue by evaluating mat*tri2 into a temporary.
  * #854: fix numerical issue in SelfAdjointEigenSolver::computeDirect for 3x3 matrices.
  * #884: make sure there no call to malloc for zero-sized matrices or for a Ref<> without temporaries.
  * #890: fix aliasing detection when applying a permutation.
  * #898: MSVC optimization by adding inline hint to const_cast_ptr.
  * #853: remove enable_if<> in Ref<> ctor.

* Dense solvers:
  * #894: fix the sign returned by LDLT for multiple calls to `compute()`.
  * Fix JacobiSVD wrt underflow and overflow.
  * #791: fix infinite loop in JacobiSVD in the presence of NaN.

* Sparse:
  * Fix out-of-bounds memory write when the product of two sparse matrices is completely dense and performed using pruning.
  * UmfPack support: fix redundant evaluation/copies when calling `compute()`, add support for generic expressions as input, and fix extraction of the L and U factors (#911).
  * Improve `SparseMatrix::block` for const matrices (the generic path was used).
  * Fix memory pre-allocation when permuting inner vectors of a sparse matrix.
  * Fix `SparseQR::rank` for a completely empty matrix.
  * Fix `SparseQR` for row-major inputs.
  * Fix `SparseLU::absDeterminant` and add respective unit test.
  * BiCGSTAB: make sure that good initial guesses are not destroyed by a bad preconditioner.

* Geometry:
  * Fix `Hyperplane::Through(a,b,c)` when points are aligned or identical.
  * Fix linking issues in OpenGLSupport.

* OS, build system and doc:
  * Various compilation fixes including: #821,  #822, #857, #871, #873.
  * Fix many compilation warnings produced by recent compilers including: #909.
  * #861: enable posix_memalign with PGI.
  * Fix BiCGSTAB doc example.

## [3.2.2]

Released on August 4, 2014

Changes since 3.2.1:

* Core:
  * Relax Ref such that `Ref<MatrixXf>` accepts a `RowVectorXf` which can be seen as a degenerate `MatrixXf(1,N)`
  * Fix performance regression for the vectorization of sub columns/rows of matrices.
  * `EIGEN_STACK_ALLOCATION_LIMIT`: Raise its default value to 128KB, make use of it to assert on  maximal fixed size object, and allows it to be 0 to mean "no limit".
  * #839: Fix 1x1 triangular matrix-vector product.
  * #755: `CommaInitializer` produced wrong assertions in absence of Return-Value-Optimization.

* Dense solvers:
  * Add a `rank()` method with threshold control to JacobiSVD, and make solve uses it to return the minimal norm solution for rank-deficient problems.
  * Various numerical fixes in JacobiSVD, including:#843, and the move from Lapack to Matlab strategy for the default threshold.
  * Various numerical fixes in LDLT, including the case of semi-definite complex matrices.
  * Fix `ColPivHouseholderQR::rank()`.
  * #222: Make temporary matrix column-major independently of `EIGEN_DEFAULT_TO_ROW_MAJOR` in BlockHouseholder.

* Sparse:
  * #838: Fix `dense * sparse` and `sparse * dense` outer products and detect outer products from either the lhs or rhs.
  * Make the ordering method of SimplicialL[D]LT configurable.
  * Fix regression in the restart mechanism of BiCGSTAB.
  * #836: extend SparseQR to support more columns than rows.
  * #808: Use double instead of float for the increasing size ratio in `CompressedStorage::resize`, fix implicit conversions from int/longint to float/double, and fix `set_from_triplets` temporary matrix type.
  * #647: Use `smart_copy` instead of bitwise memcpy in CompressedStorage.
  * GMRES: Initialize essential Householder vector with correct dimension.

* Geometry:
  * #807: Missing scalar type cast in `umeyama()`
  * #806: Missing scalar type cast in `Quaternion::setFromTwoVectors()`
  * #759: Removed hard-coded double-math from `Quaternion::angularDistance`.

* OS, build system and doc:
  * Fix compilation with Windows CE.
  * Fix some ICEs with VC11.
  * Check IMKL version for compatibility with Eigen
  * #754: Only inserted (`!defined(_WIN32_WCE)`) analog to alloc and free implementation.
  * #803: Avoid `char*` to `int*` conversion.
  * #819: Include path of details.h file.
  * #738: Use the "current" version of cmake project directories to ease the inclusion of Eigen within other projects.
  * #815: Fix doc of FullPivLU wrt permutation matrices.
  * #632: doc: Note that `dm2 = sm1 + dm1` is not possible
  * Extend AsciiQuickReference (real, imag, conjugate, rot90)

## [3.2.1]

Released on February 26, 2014

Changes since 3.2.0:

* Eigen2 support is now deprecated and will be removed in version 3.3.
* Core:
  * Bug fix for Ref object containing a temporary matrix.
  * #654: Allow construction of row vector from 1D array.
  * #679: Support `cwiseMin()` and `cwiseMax()` on maps.
  * Support `conservativeResize()` on vectors.
  * Improve performance of vectorwise and replicate expressions.
  * #642: Add vectorization of sqrt for doubles, and make sqrt really safe if `EIGEN_FAST_MATH` is disabled.
  * #616: Try harder to align columns when printing matrices and arrays.
  * #579: Add optional run-time parameter to fixed-size block methods.
  * Implement `.all()` and `.any()` for zero-sized objects
  * #708: Add placement new and delete for arrays.
  * #503: Better C++11 support.
* Dense linear algebra:
  * #689: Speed up some matrix-vector products by using aligned loads if possible.
  * Make solve in `FullPivHouseholderQR` return least-square solution if there is no exact solution.
  * #678: Fix `fullPivHouseholderQR` for rectangular matrices.
  * Fix a 0/0 issue in JacobiSVD.
  * #736: Wrong result in `LDLT::isPositiveDefinite()` for semi-definite matrices.
  * #740: Fix overflow issue in `stableNorm()`.
  * Make pivoting HouseholderQR compatible with custom scalar types.
* Geometry:
  * Fix compilation of Transform * UniformScaling
* Sparse matrices:
  * Fix elimination tree and SparseQR for fat rectangular matrices.
  * #635: add `isCompressed` to `MappedSparseMatrix` for compatibility.
  * #664: Support iterators without `operator<` in `setFromTriplets()`.
  * Fixes in SparseLU: infinite loop, aliasing issue when solving, overflow in memory allocation, use exceptions only if enabled (#672).
  * Fixes in SparseQR: reduce explicit zero, assigning result to map, assert catching non-conforming sizes, memory leak.
  * #681: Uninitialized value in CholmodSupport which may lead to incorrect results.
  * Fix some issues when using a non-standard index type (#665 and more)
  * Update constrained CG (unsupported module) to Eigen3.
* OS and build system:
  * MacOS put OpenGL header files somewhere else from where we expected it.
  * Do not assume that `alloca()` is 16-byte aligned on Windows.
  * Compilation fixes when using ICC with Visual Studio.
  * Fix Fortran compiler detection in CMake files.
* Fix some of our tests (bugs #744 and #748 and more).
* Fix a few compiler warnings (bug #317 and more).
* Documentation fixes (bugs #609, #638 and #739 and more).

## [3.1.4]

Released on August 02, 2013

Changes since 3.1.3:

* #620: Fix robustness and performance issues in JacobiSVD::solve.
* #613: Fix accuracy of SSE sqrt for very small numbers.
* #608: Fix sign computation in LDLT.
* Fix write access to CwiseUnaryView expressions.
* Fix compilation of `transposeInPlace()` for Array expressions.
* Fix non const `data()` member in Array and Matrix wrappers.
* Fix a few warnings and compilation issues with recent compiler versions.
* Documentation fixes.

## [3.0.7]

Released on August 02, 2013

Changes since 3.0.6:

* Fix traits of `Map<Quaternion>`.
* Fix a few warnings (#507) and documentation (#531).

## [3.2.0]

Released on July 24, 2013.

Major new features and optimizations since 3.1:

* Dense world
  * New [`Ref<>`](http://eigen.tuxfamily.org/dox-devel/classEigen_1_1Ref.html) class allowing to write non templated function taking various kind of Eigen dense objects without copies.
  * New [RealQZ](http://eigen.tuxfamily.org/dox-devel/classEigen_1_1RealQZ.html) factorization and [GeneralizedEigenSolver](http://eigen.tuxfamily.org/dox-devel/classEigen_1_1GeneralizedEigenSolver.html).
  * Add vector-wise normalized and normalize functions, and hasNaN/allFinite members.
  * Add mixed static/dynamic-size `.block<.,.>()` functions.
  * Optimize outer products for non rank-1 update operations.
  * Optimize diagonal products (enable vectorization in more cases).
  * Improve robustness and performance in `JacobiSVD::solve()`.
* Sparse world
  * New [SparseLU](http://eigen.tuxfamily.org/dox-devel/group__SparseLU__Module.html) module: built-in sparse LU with supernodes and numerical row pivoting (port of SuperLU making the SuperLUSupport module obsolete).
  * New [SparseQR](http://eigen.tuxfamily.org/dox-devel/group__SparseQR__Module.html) module: rank-revealing sparse QR factorization with numerical column pivoting.
  * New [COLAMD](http://eigen.tuxfamily.org/dox-devel/classEigen_1_1COLAMDOrdering.html) ordering and unified [ordering API](http://eigen.tuxfamily.org/dox-devel/group__OrderingMethods__Module.html).
  * Add support for generic blocks of sparse matrices (read-only).
  * Add conservative resize feature on sparse matrices.
  * Add uniform support for solving sparse systems with sparse right hand sides.
  * Add support for sparse matrix time sparse self-adjoint view products.
  * Improve BiCGSTAB robustness with restart.
* Support to external libraries
  * New [MetisSupport](http://eigen.tuxfamily.org/dox-devel/group__MetisSupport__Module.html) module: wrapper to the famous graph partitioning library.
  * New [SPQRSupport](http://eigen.tuxfamily.org/dox-devel/group__SPQRSupport__Module.html) module: wrapper to suitesparse's supernodal QR solver.

Eigen 3.2 represents about 600 commits since Eigen 3.1.

## [3.2-rc2]

Released on July 19, 2013.

Changes since 3.2-rc1:

* Rename `DenseBase::isFinite()` to `allFinite()` to avoid a future naming collision.
* Fix an ICE with ICC 11.1.

## [3.2-rc1]

Released on July 17, 2013.

Main changes since 3.2-beta1:
* New features:
  * #562: Add vector-wise normalized and normalize functions.
  * #564: Add `hasNaN` and `isFinite` members.
  * #579: Add support for mixed static/dynamic-size `.block()`.
  * #588: Add support for determinant in SparseLU.
  * Add support in SparseLU to solve with L and U factors independently.
  * Allow multiplication-like binary operators to be applied on type combinations supported by `scalar_product_traits`.
  * #596: Add conversion from `SparseQR::matrixQ()` to a `SparseMatrix`.
  * #553: Add support for sparse matrix time sparse self-adjoint view products.

* Accuracy and performance:
  * Improve BiCGSTAB robustness: fix a divide by zero and allow to restart with a new initial residual reference.
  * #71: Enable vectorization of diagonal products in more cases.
  * #620: Fix robustness and performance issues in JacobiSVD::solve.
  * #609: Improve accuracy and consistency of the eulerAngles functions.
  * #613: Fix accuracy of SSE sqrt for very small numbers.
  * Enable SSE with ICC even when it mimics a gcc version lower than 4.2.
  * Add SSE4 min/max for integers.
  * #590 & #591: Minor improvements in NEON vectorization.

* Bug fixes:
  * Fix `HouseholderSequence::conjugate()` and `::adjoint()`.
  * Fix SparseLU for dense matrices and matrices in non compressed mode.
  * Fix `SparseMatrix::conservativeResize()` when one dimension is null.
  * Fix `transposeInpPlace` for arrays.
  * Fix `handmade_aligned_realloc`.
  * #554: Fix detection of the presence of `posix_memalign` with mingw.
  * #556: Workaround mingw bug with `-O3` or `-fipa-cp-clone` options.
  * #608: Fix sign computation in LDLT.
  * #567: Fix iterative solvers to immediately return when the initial guess is the true solution and for trivial solution.
  * #607: Fix support for implicit transposition from dense to sparse vectors.
  * #611: Fix support for products of the form `diagonal_matrix * sparse_matrix * diagonal_matrix`.

* Others:
  * #583: Add compile-time assertion to check DenseIndex is signed.
  * #63: Add lapack unit tests. They are automatically downloaded and configured if `EIGEN_ENABLE_LAPACK_TESTS` is ON.
  * #563: Assignment to `Block<SparseMatrix>` is now allowed on non-compressed matrices.
  * #626: Add assertion on input ranges for coeff* and insert members for sparse objects.
  * #314: Move special math functions from internal to numext namespace.
  * Fix many warnings and compilation issues with recent compiler versions.
  * Many other fixes including #230, #482, #542, #561, #564, #565, #566, #578, #581, #595, #597, #598, #599, #605, #606, #615.

## [3.1.3]

Released on April 16, 2013

Changes since 3.1.2:

* #526 - Fix linear vectorized transversal in linspace.
* #551 - Fix compilation issue when using `EIGEN_DEFAULT_DENSE_INDEX_TYPE`.
* #533 - Fix some missing const qualifiers in Transpose
* Fix a compilation with CGAL::Gmpq by adding explicit internal:: namespace when calling `abs()`.
* Fix computation of outer-stride when calling `.real()` or `.imag()`.
* Fix `handmade_aligned_realloc` (affected `conservativeResize()`).
* Fix sparse vector assignment from a sparse matrix.
* Fix `log(0)` with SSE.
* Fix bug in aligned_free with windows CE.
* Fix traits of `Map<Quaternion>`.
* Fix a few warnings (#507, #535, #581).
* Enable SSE with ICC even when it mimics a gcc version lower than 4.2
* Workaround [gcc-4.7 bug #53900](http://gcc.gnu.org/bugzilla/show_bug.cgi?id=53900) (too aggressive optimization in our alignment check)

## [3.2-beta1]

Released on March 07, 2013

Main changes since 3.1:

* Dense modules
  * A new [`Ref<>`](http://eigen.tuxfamily.org/dox-devel/classEigen_1_1Ref.html) class allowing to write non templated function taking various kind of Eigen dense objects without copies.
  * New [RealQZ](http://eigen.tuxfamily.org/dox-devel/classEigen_1_1RealQZ.html) factorization and [GeneralizedEigenSolver](http://eigen.tuxfamily.org/dox-devel/classEigen_1_1GeneralizedEigenSolver.html)
  * Optimized outer products for non rank-1 update operations.

* Sparse modules
  * New [SparseLU](http://eigen.tuxfamily.org/dox-devel/group__SparseLU__Module.html) module: built-in sparse LU with supernodes and numerical row pivoting (port of SuperLU making the SuperLUSupport module obsolete).
  * New [SparseQR](http://eigen.tuxfamily.org/dox-devel/group__SparseQR__Module.html) module: rank-revealing sparse QR factorization with numerical column pivoting.
  * OrderingMethods: extended with [COLAMD](http://eigen.tuxfamily.org/dox-devel/classEigen_1_1COLAMDOrdering.html) ordering and a unified [ordering](http://eigen.tuxfamily.org/dox-devel/group__OrderingMethods__Module.html) API.
  * Support for generic blocks of sparse matrices.
  * Add conservative resize feature on sparse matrices.
  * Add uniform support for solving sparse systems with sparse right hand sides.

* Support to external libraries
  * New [MetisSupport](http://eigen.tuxfamily.org/dox-devel/group__MetisSupport__Module.html) module: wrapper to the famous graph partitioning library.
  * New [SPQRSupport](http://eigen.tuxfamily.org/dox-devel/group__SPQRSupport__Module.html) module: wrapper to suitesparse's supernodal QR solver.

* Misc
  * Improved presentation and clarity of Doxygen generated documentation (modules are now organized into chapters, treeview panel and search engine for quick navagitation).
  * New compilation token `EIGEN_INITIALIZE_MATRICES_BY_NAN` to help debugging.
  * All bug fixes of the 3.1 branch, plus a couple of other fixes (including 211, 479, 496, 508, 552)

## [3.1.2]

Released on Nov 05, 2012

Changes since 3.1.1:

* #524 - Pardiso's parameter array does not have to be aligned!
* #521 - Disable `__cpuidex` on architectures different that x86 or x86-64 with MSVC.
* #519 - `AlignedBox::dim()` was wrong for dynamic dimensions.
* #515 - Fix missing explicit scalar conversion.
* #511 - Fix pretty printers on windows.
* #509 - Fix warnings with gcc 4.7
* #501 - Remove aggressive mat/scalar optimization (was replaced by `mat*(1/scalar)` for non integer types).
* #479 - Use EISPACK's strategy re max number of iters in Schur decomposition.
* Add support for scalar multiple of diagonal matrices.
* Forward `resize()` function from Array/Matrix wrappers to the nested expression such that `mat.array().resize(a,b)` is now allowed.
* Windows CE: fix the lack of the `aligned_malloc` function on this platform.
* Fix comma initializer when inserting empty matrices.
* Fix `dense=sparse*diagonal` products.
* Fix compilation with `m.array().min(scalar)` and `m.array().max(scalar)`.
* Fix out-of-range memory access in GEMV (the memory was not used for the computation, only to assemble unaligned packets from aligned packet loads).
* Fix various regressions with MKL support.
* Fix aliasing issue in sparse matrix assignment.
* Remove stupid assert in blue norm.
* Workaround a weird compilation error with MSVC.

## [3.1.1]

Released on July 22, 2012

Changes since 3.1.0:
* [relicense to MPL2](https://www.eigen.tuxfamily.org/index.php?title=Main_Page#License)
* add a `EIGEN_MPL2_ONLY` build option to generate compiler errors when including non-MPL2 modules
* remove dynamic allocation for triangular matrix-matrix products of fixed size objects
* Fix possible underflow issues in SelfAdjointEigenSolver
* Fix issues with fixed-size Diagonal (sub/super diagonal size computation was wrong)
* #487 - Geometry module: `isometry * scaling` compilation error
* #486 - MKL support: fixed multiple-references linker errors with various decompositions
* #480 - work around compilation error on Android NDK due to isfinite being defined as a macro
* #485 - IterativeLinearSolvers: conflict between a typedef and template type parameter
* #479 - Eigenvalues/Schur: Adjust max iterations count to matrix size
* Fixed Geometry module compilation under MSVC
* Fixed Sparse module compilation under MSVC 2005

## [3.0.6]

Released on July 9, 2012

Changes since 3.0.5:
* #447 - fix infinite recursion in `ProductBase::coeff()`
* #478 - fix RealSchur on a zero matrix
* #477 - fix warnings with gcc 4.7
* #475 - `.exp()` now returns `+inf` when overflow occurs (SSE)
* #466 - fix a possible race condition in OpenMP environment (for non OpenMP thread model it is recommended to upgrade to 3.1)
* #362 - fix missing specialization for affine-compact `*` projective
* #451 - fix a clang warning
* Fix compilation of `somedensematrix.llt().matrixL().transpose()`
* Fix miss-use of the cost-model in Replicate
* Fix use of int versus Index types for `Block::m_outerStride`
* Fix ambiguous calls to some std functions
* Fix geometry tutorial on scalings
* Fix RVCT 3.1 compiler errors
* Fix implicit scalar conversion in Transform
* Fix typo in NumericalDiff (unsupported module)
* Fix LevenbergMarquart for non double scalar type (unsupported module)

## [3.1.0]

Released on June 24, 2012.

Major changes between Eigen 3.0 and Eigen 3.1:
* New features
  * **New set of officially supported Sparse Modules**
  ** This includes sparse matrix storage, assembly, and many built-in (Cholesky, CG, BiCGSTAB, ILU), and third-party (PaStiX, Cholmod, UmfPack, SuperLU, Pardiso) solvers
  ** See this [page](http://eigen.tuxfamily.org/dox-devel/TutorialSparse.html) for an overview of the features
  * **Optional support for Intel MKL**
  ** This includes the BLAS, LAPACK, VML, and Pardiso components
  ** See this [page](http://eigen.tuxfamily.org/dox-devel/TopicUsingIntelMKL.html) for the details
  * Core
  ** New vector-wise operators: `*`, `/`, `*=`, `/=`
  ** New coefficient-wise operators: `&&`, `||`,  `min(Scalar)`, `max(Scalar)`, `pow`, `operator/(Scalar,ArrayBase)`
  * Decompositions
  ** Add incremental rank-updates in LLTand LDLT
  ** New `SelfAdjointEigenSolver::computeDirect()` function for fast eigen-decomposition through closed-form formulas (only for 2x2 and 3x3 real matrices)
* Optimizations
  * Memory optimizations in JacobiSVD and triangular solves.
  * Optimization of reductions via partial unrolling (e.g., dot, sum, norm, etc.)
  * Improved performance of small matrix-matrix products and some Transform<> operations

Eigen 3.1 represents about 600 commits since Eigen 3.0.

## [3.1.0-rc2]

Released on June 21, 2012.

Changes since 3.1.0-rc1:
* Fix a couple of compilation warnings
* Improved documentation, in particular regarding the Geometry and Sparse tutorials, and sparse solver modules
* Fix double preconditioner allocation in `JacobiSVD`
* #466: `RealSchur` failed on a zero matrix
* Update Adolc and MPReal support modules

## [3.1.0-rc1]

Released on June 14, 2012

Main changes since 3.1.0-beta1:
* #466: fix a possible race condition issue. from now, multithreaded applications that call Eigen from multiple thread must initialize Eigen by calling `initParallel()`.
* For consistency, `SimplicialLLT` and `SimplicialLDLT` now factorizes `P A P^-1` (instead of `P^-1 A P`).
* #475: now the vectorized `exp` operator returns +inf when overflow occurs
* Fix the use of MKL with MSVC by disabling MKL's pow functions.
* Avoid dynamic allocation for fixed size triangular solving
* Fix a compilation issue with ICC 11.1
* Fix ambiguous calls in the math functors
* Fix BTL interface.

## [3.1.0-beta1]

Released on June 7, 2012

Main changes since 3.1.0-alpha2:
* **API changes**
  * `SimplicialLLt` and `SimplicialLDLt` are now renamed `SimplicialLLT` and `SimplicialLDLT` for consistency with the other modules.
  * The Pardiso support module is now spelled "PardisoSupport"
* Dense modules:
  * Add `operator/(Scalar,ArrayBase)` and coefficient-wise pow operator.
  * Fix automatic evaluation of expressions nested by Replicate (performance improvement)
  * #447 - fix infinite recursion in `ProductBase::coeff()`
  * #455 - add support for c++11 in `aligned_allocator`
  * `LinSpace`: add a missing variant, and fix the size=1 case
* Sparse modules:
  * Add an **IncompleteLU** preconditioner with dual thresholding.
  * Add an interface to the parallel **Pastix** solver
  * Improve applicability of permutations (add `SparseMatrixBase::twistedBy`, handle non symmetric permutations)
  * `CholmodDecomposition` now has explicit variants: `CholmodSupernodalLLT`, `CholmodSimplicialLLT`, `CholmodSimplicialLDLT`
  * Add analysePattern/factorize methods to iterative solvers
  * Preserve explicit zero in a sparse assignment
  * Speedup `sparse * dense` products
  * Fix a couple of issues with Pardiso support
* Geometry module:
  * Improve performance of some `Transform<>` operations by better preserving the alignment status.
  * #415 - wrong return type in `Rotation2D::operator*=`
  * #439 - add `Quaternion::FromTwoVectors()` static constructor
  * #362 - missing specialization for affine-compact `*` projective
* Others:
  * add support for RVCT 3.1 compiler
  * New tutorial page on Map
  * and many other bug fixes such as: #417, #419, #450

## [3.0.5]

Released February 10, 2012

Changes since 3.0.4:
* #417 - fix nesting of `Map` expressions
* #415 - fix return value of `Rotation2D::operator*=`
* #410 - fix a possible out of range access in `EigenSolver`
* #406 - fix infinite loop/deadlock when using OpenMP and Eigen
* Changeset 4462 - fix broken asserts revealed by Clang
* Changeset 4457 - fix description of `rankUpdate()` in quick reference guide
* Changeset 4455 - fix out-of-range int constant in 4x4 inverse
* #398 - fix in slerp: the returned quaternion was not always normalized
* Changeset 4432 - fix asserts in eigenvalue decompositions
* Changeset 4416 - fix MSVC integer overflow warning

## [3.1.0-alpha2]

Released February 6, 2012

Main changes since 3.0.1-alpha1:
* New optional support for Intel MKL and other BLAS including: ([details](http://eigen.tuxfamily.org/dox-devel/TopicUsingIntelMKL.html))
  * BLAS (arbitrary BLAS)
  * Intel LAPACKE
  * Intel VML (coefficient-wise math operations)
  * Intel PARDISO (sparse direct solver)
* Dense modules:
  * improved performance of small matrix-matrix products
  * Feature #319 - add a rankUpdate function to LDLt and LLT for updates/downdates
  * Feature #400 - new coefficient wise min/max functions taking one scalar argument
* Sparse modules:
  * new fast sparse matrix assembly interface from a random list of triplets (see `SparseMatrix::setFromTriplets()`)
  * new shifting feature in SimplicialCholesky (see `SimplicialCholeskyBase::setShift()`)
  * add checks for positive definiteness in SimplicialCholesky
  * improved heuristic to predict the nnz of a `sparse*sparse` product
  * add support for uncompressed SparseMatrix in CholmodSupport
* Geometry module:
  * Feature #297 - add `ParametrizedLine::intersectionPoint()` and `intersectionParam()` functions
* Others:
  * fix many warnings and compilation issues with ICC 12 and -strict-ansi
  * fix some ICE with MSVC10
  * add the possibility to disable calls to cpuid (`-DEIGEN_NO_CPUID`) and other asm directives
  * and many other bug fixes such as: #406, #410, #398, #396, #394, #354, #352, #301,


## [3.1.0-alpha1]

Released December 6, 2011

Main changes since 3.0:
* Officially supported set of sparse modules. See this [page](http://eigen.tuxfamily.org/dox-devel/TutorialSparse.html) for an overview of the features. Main changes:
  * new `SparseCore` module equivalent to the old `Sparse` module, the `Sparse` module is now a super module including all sparse-related modules
    * the `SparseMatrix` class is now more versatile and supports an uncompressed mode for fast element insertion
    * the `SparseMatrix` class now offer a unique and simplified API to insert elements
    * `DynamicSparseMatrix` has been deprecated (moved into `unsupported/SparseExtra`)
    * new conservative `sparse * sparse` matrix product which is also used by default
  * new `SparseCholesky` module featuring the SimplicialLLT and SimplicialLDLT built-in solvers
  * new `IterativeLinearSolvers` module featuring a conjugate gradient and stabilized bi-conjugate gradient iterative solvers with a basic Jacobi preconditioner
* New `SelfAdjointEigenSolver::computeDirect()` function for fast eigen-decomposition through closed-form formulas (only for 2x2 and 3x3 real matrices)
* New `LLT::rankUpdate()` function supporting both updates and down-dates
* Optimization of reduction via partial unrolling (e.g., dot, sum, norm, etc.)
* New coefficient-wise operators: `&&` and `||`
* Feature #157 - New vector-wise operations for arrays: `*`, `/`, `*=`, and `/=`.
* Feature #206 - Pre-allocation of intermediate buffers in JacobiSVD
* Feature #370 - New typedefs for AlignedBox
* All the fixes and improvements of the 3.0 branch up to the 3.0.4 release (see below)


## [3.0.4]

Released December 6, 2011

Changes since 3.0.3:

* #363 - check for integer overflow in size computations
* #369 - Quaternion alignment is broken (and more alignment fixes)
* #354 - Converge better in SelfAdjointEigenSolver, and allow better handling of non-convergent cases
* #347 - Fix compilation on ARM NEON with LLVM 3.0 and iOS SDK 5.0
* #372 - Put unsupported modules documentation at the right place
* #383 - Fix C++11 compilation problem due to some constructs mis-interpreted as c++11 user-defined literals
* #373 - Compilation error with clang 2.9 when exceptions are disabled
* Fix compilation issue with `QuaternionBase::cast`


## [2.0.17]

Released December 6, 2011

Changes since 2.0.16:

* Fix a compilation bug in `aligned_allocator`: the allocate method should take a void pointer
* Fix a typo in ParametrizedLine documentation


## [3.0.3]

Released October 6, 2011

Changes since 3.0.2:

* Fix compilation errors when Eigen2 support is enabled.
* Fix bug in evaluating expressions of the form `matrix1 * matrix2 * scalar1 * scalar2`.
* Fix solve using LDLT for singular matrices if solution exists.
* Fix infinite loop when computing SVD of some matrices with very small numbers.
* Allow user to specify pkgconfig destination.
* Several improvements to the documentation.


## [3.0.2]

Released August 26, 2011

Changes since 3.0.1:

* `Windows.h`: protect min/max calls from macros having the same name (no need to `#undef` min/max anymore).
* MinGW: fix compilation issues and pretty gdb printer.
* Standard compliance: fix aligned_allocator and remove uses of long long.
* MPReal: updates for the new version.
* Other fixes:
  * fix aligned_stack_memory_handler for null pointers.
  * fix std::vector support with gcc 4.6.
  * fix linking issue with OpenGL support.
  * fix SelfAdjointEigenSolver for 1x1 matrices.
  * fix a couple of warnings with new compilers.
  * fix a few documentation issues.


## [3.0.1]

Released May 30, 2011

Changes since 3.0.0:

* Fix many bugs regarding ARM and NEON (Now all tests succeed on ARM/NEON).
* Fix compilation on gcc 4.6
* Improved support for custom scalar types:
  * Fix memory leak issue for scalar types throwing exceptions.
  * Fix implicit scalar type conversion.
  * Math functions can be defined in the scalar type's namespace.
* Fix bug in trapezoidal matrix time matrix product.
* Fix asin.
* Fix compilation with MSVC 2005 (SSE was wrongly enabled).
* Fix bug in `EigenSolver`: normalize the eigen vectors.
* Fix Qt support in Transform.
* Improved documentation.

## [2.0.16]

Released May 28, 2011

Changes since 2.0.15:

* Fix bug in 3x3 tridiagonlisation (and consequently in 3x3 selfadjoint eigen decomposition).
* Fix compilation for new gcc 4.6.
* Fix performance regression since 2.0.12: in some matrix-vector product, complex matrix expressions were not pre-evaluated.
* Fix documentation of Least-Square.
* New feature: support for `part<SelfAdjoint>`.
* Fix bug in SparseLU::setOrderingMethod.

## [3.0.0]

Released March 19, 2011, at the [meeting](https://www.eigen.tuxfamily.org/index.php?title=Paris_2011_Meeting).

See the [Eigen 3.0 release notes](https://www.eigen.tuxfamily.org/index.php?title=3.0).

Only change since 3.0-rc1:
* Fixed compilation of the unsupported 'openglsupport' test.

## [3.0-rc1]

Released March 14, 2011.

Main changes since 3.0-beta4:

* Core: added new `EIGEN_RUNTIME_NO_MALLOC` option and new `set_is_malloc_allowed()` option to finely control where dynamic memory allocation is allowed. Useful for unit-testing of functions that must not cause dynamic memory allocations.
* Core: SSE performance fixes (follow-up from #203).
* Core: Fixed crashes when using `EIGEN_DONT_ALIGN` or `EIGEN_DONT_ALIGN_STATICALLY` (#213 and friends).
* Core: `EIGEN_DONT_ALIGN` and `EIGEN_DONT_ALIGN_STATICALLY` are now covered by unit tests.
* Geometry: Fixed transform * matrix products (#207).
* Geometry: compilation fix for mixing CompactAffine with Homogeneous objects
* Geometry: compilation fix for 1D transform
* SVD: fix non-computing constructors (correctly forward `computationOptions`) (#206)
* Sparse: fix resizing when the destination sparse matrix is row major (#37)
* more Eigen2Support improvements
* more unit test fixes/improvements
* more documentation improvements
* more compiler warnings fixes
* fixed GDB pretty-printer for dynamic-size matrices (#210)

## [3.0-beta4]

Released February 28, 2011.

Main changes since 3.0-beta3:

* Non-vectorization bug fixes:
  * fix #89: work around an extremely evil compiler bug on old GCC (<= 4.3) with the standard `assert()` macro
  * fix Umfpack back-end in the complex case
* Vectorization bug fixes:
  * fix a segfault in "slice vectorization" when the destination might not be aligned on a scalar (`complex<double>`)
  * fix #195: fast SSE unaligned loads fail on GCC/i386 and on Clang
  * fix #186: worked around a GCC 4.3 i386 backend issue with SSE
  * fix #203: SSE: a workaround used in pset1() resulted in poor assembly
  * worked around a GCC 4.2.4 internal compiler error with vectorization of complex numbers
  * lots of AltiVec compilation fixes
  * NEON compilation fixes
* API additions and error messages improvements
  * Transform: prevent bad user code from compiling
  * fix #190: directly pass Transform Options to Matrix, allowing to use RowMajor. Fix issues in Transform with non-default Options.
  * factorize implementation of standard real unary math functions, and add acos, asin
* Build/tests system
  * Lots of unit test improvements
  * fix installation of unsupported modules
  * fixed many compiler warnings, especially on the Intel compiler and on LLVM/Clang
  * CTest/CMake improvements
  * added option to build in 32bit mode
* BLAS/LAPACK implementation improvements
  * The Blas library and tests are now automatically built as part of the tests.
  * expanded LAPACK interface (including syev)
  * now Sparse solver backends use our own BLAS/LAPACK implementation
  * fix #189 (cblat1 test failure)
* Documentation
  * improved conservativeResize methods documentation
  * documented sorting of eigenvalues
  * misc documentation improvements
  * improve documentation of plugins

## [3.0-beta3]

Released February 12, 2011.

The biggest news is that the API is now **100% stable**.

Main changes since 3.0-beta2:

* The "too many to list them all" category:
  * lots of bug fixes
  * lots of performance fixes
  * lots of compiler support fixes
  * lots of warning fixes
  * lots of unit tests improvements and fixes
  * lots of documentation improvements
  * lots of build system fixes
* API changes:
  * replaced `ei_` prefix by `internal::` namespace. For example, `ei_cos(x)` becomes `internal::cos(x)`.
  * renamed `PlanarRotation` -> `JacobiRotation`
  * renamed `DenseStorageBase` -> `PlainObjectBase`
  * HouseholderSequence API cleanup
  * refactored internal metaprogramming helpers to follow closely the standard library
  * made UpperBidiagonalization internal
  * made BandMatrix/TridiagonalMatrix internal
  * Core: also see below, "const correctness".
  * Sparse: `EIGEN_YES_I_KNOW_SPARSE_MODULE_IS_NOT_STABLE_YET` must be defined to use Eigen/Sparse
  * Core: `random<interger type>()` now spans over range of width `RAND_MAX`
* New API:
  * Core: added Map static methods taking strides
  * SVD: added `jacobiSvd()` method
  * Sparse: many misc improvements and new features. Improved support for Cholmod, Amd, SuperLU and other back-ends.
  * Core: allow mixed real-complex dot products
  * Geometry: allow mixed real-complex cross products
  * Geometry: allow to pass Options parameters to Transform, Quaternion and other templates, to control memory alignment
  * QR: add threshold API to FullPivHouseholderQR
  * Core: added tan function
* Const correctness:
  * Eigen now properly enforces const-correctness everywhere, for example with Map objects. This will break compilation of code that relied on former behavior.
  * A new kind of test suite was added to check that, 'failtest'.
* BLAS/LAPACK:
  * Complete BLAS library built on top of Eigen. Imported BLAS test suite, which allowed to fix many issues.
  * Partial LAPACK implementation. Passing part of the LAPACK test suite, which also allowed to fix some issues.
* Eigen 2 Support:
  * tons of improvements in `EIGEN2_SUPPORT`
  * new incremental migration path: see http://eigen.tuxfamily.org/dox-devel/Eigen2SupportModes.html
  * imported a copy of the Eigen 2 test suite, made sure that Eigen 3 passes it. That also allowed to fix several issues.


## [3.0-beta2]

Released October 15, 2010.

Main changes since 3.0-beta1:

* Add support for the vectorization of `std::complex<>` with SSE, AltiVec and NEON.
* Add support for mixed `real * complex` matrix products with vectorization.
* Finalize the JacobiSVD class with: compile time options, thin/full decompositions, and least-square solving.
* Several improvement of the Transform class. In particular, there is no default mode anymore.
* New methods: `middleRows()`, `middleCols()`, `TriangularMatrix::conjugate()`
* New unsupported modules: OpenGL, MPFR C++
* Many improvements in the support of empty objects.
* Many improvements of the vectorization logic.
* Add the possibility to extend QuaternionBase.
* Vectorize Quaternion multiplication with double.
* Significant improvements of the documentation.
* Improved compile time errors.
* Enforce static allocation of temporary buffers in gemm (when possible).
* Fix aligned_delete for null pointers and non trivial dtors.
* Fix eigen decomposition of 3x3 float matrices.
* Fix 4x4 matrix inversions (vectorization).
* Many fixes in QR: solving with `m>n`, use of rank, etc.
* Fixes for MSVC for windows mobile and CLang.
* Remove the Taucs backend (obsolete).
* Remove the old SVD class (was causing too much troubles, a new decompozition based on bidiagonalisation/householder should come back soon, `JacobiSVD` can be used meanwhile).

## [2.0.15]

Released July 16, 2010

Changes since 2.0.14:

* Fix bug: certain cases of matrix-vector product (depending on storage order) were blocked by an assertion failure.
* Fix LU and QR solve when rank==0, fix LLT when the matrix is purely 0.
* Fix a couple of bugs with QR solving especially with rows>cols.
* Fix bug with custom scalar types that have non-trivial destructor.
* Fix for ICC in SSE code.
* Fix some C++ issues found by Clang (patch by Nick Lewycky).

## [3.0-beta1]

Released July 5, 2010

See the [announcement](https://www.eigen.tuxfamily.org/index.php?title=3.0).

## [2.0.14]

Released June 22, 2010

Changes since 2.0.13:

* Fix #141: crash in SSE (alignment problem) when using dynamic-size matrices with a max-size fixed at compile time that is not a multiple of 16 bytes. For example, `Matrix<double,Dynamic,Dynamic,AutoAlign,5,5>`.
* Fix #142: LU of fixed-size matrices was causing dynamic memory allocation (patch by Stuart Glaser).
* Fix #127: remove useless static keywords (also fixes warnings with clang++).

## [2.0.13]

Released June 10, 2010

Changes since 2.0.12:

* Fix #132: crash in certain matrix-vector products. Unit test added.
* Fix #125: colwise `norm()` and `squaredNorm()` on complex types do not return real types
* Fully support the QCC/QNX compiler (thanks to Piotr Trojanek). The support in 2.0.12 was incomplete. The whole test suite is now successful.
* As part of the QCC support work, a lot of standards compliance work: put `std::` in front of a lot of things such as `size_t`, check whether the math library needs to be linked to explicitly.
* Fix precision issues in LDLT. The `isPositiveDefinite()` method is now always returning true, but it was conceptually broken anyway, since a non-pivoting LDLT decomposition can't know that.
* Compilation fix in `ldlt()` on expressions.
* Actually install the Eigen/Eigen and Eigen/Dense public headers!
* Fix readcost for complex types.
* Fix compilation of the BTL benchmarks.
* Some dox updates.

## [2.0.12]

Released February 12, 2010

Changes since 2.0.11:

* `EIGEN_DEFAULT_TO_ROW_MAJOR` is fully supported and tested.
* Several important fixes for row-major matrices.
* Fix support of several algorithms for mixed fixed-dynamic size matrices where the fixed dimension is greater than the dynamic dimension. For example: `Matrix<float,3,Dynamic>(3,2)`
* fix `EIGEN_DONT_ALIGN`: now it _really_ disables vectorization (was giving a `#error` unless you also used `EIGEN_DONT_VECTORIZE`).
* Fix #92: Support QNX's QCC compiler (patch by Piotr Trojanek)
* Fix #90, missing type cast in LU, allow to use LU with MPFR (patch by 'Wolf').
* Fix ICC compiler support: work around a bug present at least in ICC 11.1.
* Compilation fixes for `computeInverse()` on expressions.
* Fix a gap in a unit-test (thanks to Jitse Niesen)
* Backport improvements to benchmarking code.
* Documentation fixes

## [2.0.11]

Released January 10, 2010

Changes since 2.0.10:

* Complete rewrite of the 4x4 matrix inversion: we now use the usual cofactors approach, so no numerical stability problems anymore (bug #70)
* Still 4x4 matrix inverse: SSE path for the float case, borrowing code by Intel, giving very high performance.
* Fix crash happening on 32-bit x86 Linux with SSE, when double's were created at non-8-byte-aligned locations (bug #79).
* Fix bug in Part making it crash in certain products (bug #80).
* Precision improvements in Quaternion SLERP (bug #71).
* Fix sparse triangular solver for lower/row-major matrices (bug #74).
* Fix MSVC 2010 compatibility.
* Some documentation improvements.

## [2.0.10]

Released November 25, 2009

Changes since 2.0.9:

* Rewrite 4x4 matrix inverse to improve precision, and add a new unit test to guarantee that precision. It's less fast, but it's still faster than the cofactors method.
* Fix bug #62: crash in SSE code with MSVC 2008 (Thanks to Hauke Heibel).
* Fix bug #65: `MatrixBase::nonZeros()` was recursing infinitely
* Fix PowerPC platform detection on Mac OSX.
* Prevent the construction of bogus MatrixBase objects and generate good compilation errors for that. Done by making the default constructor protected, and adding some private constructors.
* Add option to initialize all matrices by zero: just #define `EIGEN_INITIALIZE_MATRICES_BY_ZERO`
* Improve Map documentation
* Install the pkg-config file to share/pkgconfig, instead of lib/pkgconfig (thanks to Thomas Capricelli)
* fix warnings
* fix compilation with MSVC 2010
* adjust to repository name change

## [2.0.9]

Released October 24, 2009

Changes since 2.0.8:

* Really fix installation and the pkg-config file.
* Install the `NewStdVector` header that was introduced in 2.0.6.

## [2.0.8]

Released October 23, 2009

Changes since 2.0.7:

* fix installation error introduced in 2.0.7: it was choking on the pkg-config file eigen2.pc not being found. The fix had been proposed long ago by Ingmar Vanhassel for the development branch, and when recently the pkg-config support was back-ported to the 2.0 branch, nobody thought of backporting this fix too, and apparently nobody tested "make install" !
* SVD: add default constructor. Users were relying on the compiler to generate one, and apparenty 2.0.7 triggered a little MSVC 2008 subtlety in this respect. Also added an assert.

## [2.0.7]

Released October 22, 2009

Changes since 2.0.6:

* fix bug #61: crash when using Qt `QVector` on Windows 32-bit. By Hauke Heibel.
* fix bug #10: the `reallocateSparse` function was half coded
* fix bug in `SparseMatrix::resize()` not correctly initializing by zero
* fix another bug in `SparseMatrix::resize()` when `outerSize==0`. By Hauke Heibel.
* fully support GCC 3.3. It was working in 2.0.2, there was a compilation error in 2.0.6, now for the first time in 2.0.7 it's 100% tested (the test suite passes without any errors, warnings, or failed tests).
* SVD: add missing assert (help catch mistakes)
* fixed warnings in unit-tests (Hauke Heibel)
* finish syncing `Memory.h` with the devel branch. This is cleaner and fixes a warning. The choice of system aligned malloc function may be affected by this change.
* add pkg-config support by Rhys Ulerich.
* documentation fix and doc-generation-script updates by Thomas Capricelli

## [2.0.6]

Released September 23, 2009

Changes since 2.0.5:

* fix bug: visitors didn't work on row-vectors.
* fix bug #50: compilation errors with `swap()`.
* fix bug #42: Add `Transform::Identity()` as mentioned in the tutorial.
* allow to disable all alignment code by defining `EIGEN_DONT_ALIGN` (backport from devel branch).
* backport the devel branch's `StdVector` header as `NewStdVector`. You may also #define `EIGEN_USE_NEW_STDVECTOR` to make `StdVector` use it automatically. However, by default it isn't used by `StdVector`, to preserve compatibility.
* Vectorized quaternion product (for float) by Rohit Garg (backport from devel branch).
* allow to override `EIGEN_RESTRICT` and add `EIGEN_DONT_USE_RESTRICT_KEYWORD`
* fix a warning in `ei_aligned_malloc`; fixed by backporting the body from the devel branch; may result in a different choice of system aligned malloc function.
* update the documentation.

## [2.0.5]

Released August 22, 2009

Changes since 2.0.4:

* fix bug: in rare situations involving mixed storage orders, a matrix product could be evaluated as its own transpose
* fix bug: `LU::solve()` crashed when called on the LU decomposition of a zero matrix
* fix bug: `EIGEN_STACK_ALLOCATION_LIMIT` was too high, resulting in stack overflow for a user. Now it is set as in the devel branch.
* fix compilation bug: our `StdVector` header didn't work with GCC 4.1. (Bug #41)
* fix compilation bug: missing return statement in `Rotation2D::operator*=` (Bug #36)
* in StdVector, a more useful `#error` message about the #including order
* add `EIGEN_TRANSFORM_PLUGIN` allowing to customize the Transform class
* fix a warning with MSVC
* fix a bug in our cmake code when building unit-tests (thanks to Marcus Hanwell)
* work around a bug in cmake that made it fail to build unit-tests when fortran wasn't installed
* in our cmake code, remove the part about retrieving the mercurial info and appending it to the version number in the dox
* dox: remove the old example list
* fix the option to build a binary library, although it's not very useful and will be removed
* add basic .hgignore file and script to build the docs (thanks to Thomas Capricelli)

## [2.0.4]

Released August 1, 2009

Changes since 2.0.3:
* Several fixes in the overloaded new and delete operators. Thanks to Hauke Heibel.
* compilation fix: add the missing `ei_atan2` function. Thanks to Manuel Yguel.
* Use `ei_atan2` instead of using `std::atan2` directly.
* several compilation fixes in the Qt interoperability code: methods `toQTransform()` and `toQMatrix()`. Thanks to Anthony Truchet.
* compilation fix and simplification in Matrix assignment
* compilation fixes in `a *= b` and  `a = a*b` when a has to be resized.
* remove a "stupid" version of `ei_pow`. for integers for gcc >= 4.3
* bug fix in `Quaternion::setFromTwoVectors()`
* several ctest improvements: use our own dashboard, use a separate project for the 2.0 branch.
* documentation: improvement on the pages on unaligned arrays (the online copies have been updated immediately).

## [2.0.3]

Released June 21, 2009

Changes since 2.0.2:
* precision and reliability fixes in various algorithms, especially LLT, QR, Tridiagonalization, and also a precision improvement in LU.
* fix LLT and LDLT solve() on uninitialized result (was causing an assertion).
* add Eigen/Eigen and Eigen/Dense headers for convenience
* document a newly found cause for the "unaligned array" assertion
* backport documentation improvements on transpose() and adjoint()
* updates in the Sparse module (was needed to support KDE 4.3)

## [2.0.2]

Released May 22, 2009

Changes since 2.0.1:
* Fix `linearRegression()` compilation, actually it is reimplemented using the better fitHyperplane() which does total least-squares.
* Add missing `setZero()` etc... variants taking size parameters and resizing. These were mentioned in the tutorial but weren't implemented.
* Fix `posix_memalign` platform check. This fixes portability issues. Thanks to Ross Smith.
* Fix detection of SSE2 on the Windows 64-bit platform.
* Fix compatibility with the old GCC 3.3: it is now fully supported again.
* Fix warnings with recent GCC (4.4.0 and 4.3.3).

## [2.0.1]

Released April 14, 2009

Changes since 2.0.0:
* disable alignment altogether on exotic platforms on which we don't vectorize anyway. This allows e.g. to use Eigen on ARM platforms.
* new StdVector header with a new workaround for the problems with std::vector.
* workarounds for MSVC internal compiler errors
* MSVC 9 compilation fix (patch by Hauke Heibel)
* fixes for various bugs in Maps/Blocks that could give wrong results
* fix bug in 4x4 matrix inverse that could give wrong results
* compilation fix in SliceVectorization
* fix wrong static assertion (patch by Markus Moll)
* add missing operators in `aligned_allocator` (thanks to Hauke Heibel)

## [2.0.0]

Released February 2, 2009