Changelog
[Unreleased]
New features:
- ComplexQZ implementation [!1962]
- Generic clang vector extension backend [!2051]
[5.0.1] - 2025-11-11
A few bug-fixes from the master branch, including
- Dirty git state [#2995]
- Failing geo_homogeneous tests [#2977]
- Alignment issues [#2982, #2984]
- Missing C++20
<version> header [#2986] - BLAS/LAPACK build on windows [#2980]
See the full lists of addressed bugs and merge requests for more details.
[5.0.0] - 2025-09-30
Eigen 5.0 provides many new features, performance enhancements, and bugfixes throughout Eigen’s core template expression infrastructure and linear algebra facilities. The full set of changes and related issues are too large to list here, but can be accessed via the release milestone %“5.0”.
This is the last major release to support the C++14 language standard. The master branch and subsequent releases will require support for C++17.
Versioning
This release marks a transition to Semantic Versioning. Previously, Eigen used a WORLD.MAJOR.MINOR scheme. From now on, version numbers will follow the MAJOR.MINOR.PATCH format, indicating breaking changes, new features, and bug fixes, respectively. The WORLD version will remain 3 for this and subsequent releases for posterity. See the table below:
╔═════════╦═════╦═════╗
║ Release ║ 3.4 ║ 5.0 ║
╠═════════╬═════╬═════╣
║ WORLD ║ 3 ║ 3 ║
║ MAJOR ║ 4 ║ 5 ║
║ MINOR ║ 0 ║ 0 ║
║ PATCH ║ - ║ 0 ║
╚═════════╩═════╩═════╝
Breaking changes
- Eigen 5.X.X requires C++14. When building with GNU-compatible compilers, set
-std=c++14 or later. As part of this change, some macros such as EIGEN_HAS_CXX11 have also been removed. - The CMake build system has been modernized and older properties have been removed - projects relying on CMake may need to update their configurations [!485].
- All LGPL-licensed code has been removed (i.e. Constrained Conjugate Gradient) [!1197]. These were “unsupported” anyways, and weren't widely used.
- Due to name conflicts with other projects,
Eigen::all and Eigen::last have been moved to Eigen::placeholders::all and Eigen::placeholders::last [!649]. - Any direct inclusion of an internal header (i.e. under a
../src/.. path) will result in a compilation error [!631]. - Runtime SVD options for computing thin/full U/V have been deprecated: use compile-time options instead [!826].
- Scalar (i.e. non-vectorized) comparisons now return masks with values of
Scalar(1) rather than having all bits set to avoid undefined behavior [!1862]. - BLAS return types have been changed for Eigen BLAS to
void instead of int for compatibility with other BLAS implementations [!1497]. Eigen::aligned_allocator no longer inherits from std::allocator due to a change in the standard and the use of allocate_at_least [!1795].- Euler angles are now returned in a more canonical form, potentially resulting in a change of behavior [!1301, !1314].
- Eigen's random number generation has changed, resulting in a change of behavior. Please do not rely on specific random numbers from Eigen - these were never guaranteed to be consistent across Eigen versions, nor are they generally consistent across platforms [!1437].
[3.4.1] - 2025-09-30
Many bug fixes have been backported from the main branch.
A list of new issues addressed can be found via the 3.4.1 label on GitLab.
Check the git commit history for the full list of changes.
[3.4.0] - 2021-08-18
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] - Add STL-compatible iterators for dense expressions [doc].
- New versatile API for sub-matrices, slices, and indexed views [doc].
- Add C++11 template aliases for Matrix, Vector, and Array of common sizes, including generic
Vector<Type,Size> and RowVector<Type,Size> aliases [doc]. - New support for
bfloat16.
New backends
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 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 for more details.
[3.3.9] - 2020-12-04
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] - 2020-10-05
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 sAB 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] - 2020-09-14
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 sAB 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] - 2018-12-11
Changes since 3.3.6:
- #1643: Fix compilation with GCC>=6 and compiler optimization turned off.
[3.3.6] - 2018-12-10
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 a2d6c106a450: Workaround weird MSVC bug.
- #1637 Workaround performance regression in matrix products with gcc>=6 and clang>=6.0.
- Changeset 9ccbaaf3dd4c: Fix some implicit 0 to Scalar conversions.
- #1605: Workaround ABI issue with vector types (aka
__m128) versus scalar types (aka float). - Changeset 148e579cc004: Fix for gcc<4.6 regarding usage of #pragma GCC diagnostic push/pop.
- Changeset bc000deaae45: Fix conjugate-gradient for right-hand-sides with a very small magnitude.
- Changeset 5be00b0e2964: 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 e4127b0f7d3b: 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] - 2018-07-23
Changes since 3.3.4:
[3.3.4] - 2017-06-15
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] - 2017-02-21
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] - 2017-01-18
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] - 2016-12-06
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 matmat 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] - 2016-11-10
For a comprehensive list of change since the 3.2 series, see this page.
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] - 2016-11-04
For a comprehensive list of change since the 3.2 series, see this page.
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).
- 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] - 2016-10-04
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] - 2016-09-22
For a comprehensive list of change since the 3.2 series, see this page.
Main changes since 3.3-beta2:
[3.3-beta2] - 2016-08-26
For a comprehensive list of change since the 3.2 series, see this page.
Main changes since 3.3-beta1:
[3.2.9] - 2016-08-18
Changes since 3.2.8:
[3.2.8] - 2016-02-16
Changes since 3.2.7:
[3.3-beta1] - 2015-12-16
For a comprehensive list of change since the 3.2 series, see this page.
Main changes since 3.3-alpha1:
[3.2.7] - 2015-11-05
Changes since 3.2.6:
[3.2.6] - 2015-10-01
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] - 2015-09-04
See the announcement.
[3.2.5] - 2015-06-16
Changes since 3.2.4:
[3.2.4] - 2015-01-21
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] - 2014-12-16
Changes since 3.2.2:
[3.2.2] - 2014-08-04
Changes since 3.2.1:
[3.2.1] - 2014-02-26
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] - 2013-08-02
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] - 2013-08-02
Changes since 3.0.6:
- Fix traits of
Map<Quaternion>. - Fix a few warnings (#507) and documentation (#531).
[3.2.0] - 2013-07-24
Major new features and optimizations since 3.1:
- Dense world
- New
Ref<> class allowing to write non templated function taking various kind of Eigen dense objects without copies. - New RealQZ factorization and GeneralizedEigenSolver.
- 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 module: built-in sparse LU with supernodes and numerical row pivoting (port of SuperLU making the SuperLUSupport module obsolete).
- New SparseQR module: rank-revealing sparse QR factorization with numerical column pivoting.
- New COLAMD ordering and unified ordering API.
- 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 module: wrapper to the famous graph partitioning library.
- New SPQRSupport module: wrapper to suitesparse's supernodal QR solver.
Eigen 3.2 represents about 600 commits since Eigen 3.1.
[3.2-rc2] - 2013-07-19
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] - 2013-07-17
Main changes since 3.2-beta1:
[3.1.3] - 2013-04-16
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 (too aggressive optimization in our alignment check)
[3.2-beta1] - 2013-03-07
Main changes since 3.1:
[3.1.2] - 2012-11-05
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] - 2012-07-22
Changes since 3.1.0:
- relicense to MPL2
- 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] - 2012-07-09
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] - 2012-06-24
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 for an overview of the features
- Optional support for Intel MKL ** This includes the BLAS, LAPACK, VML, and Pardiso components ** See this page 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] - 2012-06-21
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] - 2012-06-14
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] - 2012-06-07
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] - 2012-02-10
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] - 2012-02-06
Main changes since 3.0.1-alpha1:
- New optional support for Intel MKL and other BLAS including: (details)
- 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] - 2011-12-06
Main changes since 3.0:
- Officially supported set of sparse modules. See this page 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] - 2011-12-06
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] - 2011-12-06
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] - 2011-10-06
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] - 2011-08-26
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] - 2011-05-30
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] - 2011-05-28
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] - 2011-03-19
Released at the meeting.
See the Eigen 3.0 release notes.
Only change since 3.0-rc1:
- Fixed compilation of the unsupported ‘openglsupport’ test.
[3.0-rc1] - 2011-03-14
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] - 2011-02-28
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] - 2011-02-12
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:
[3.0-beta2] - 2010-10-15
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] - 2010-07-16
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] - 2010-07-05
See the announcement.
[2.0.14] - 2010-06-22
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] - 2010-06-10
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] - 2010-02-12
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] - 2010-01-10
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] - 2009-11-25
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] - 2009-10-24
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] - 2009-10-23
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] - 2009-10-22
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] - 2009-09-23
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] - 2009-08-22
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] - 2009-08-01
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] - 2009-06-21
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] - 2009-05-22
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] - 2009-04-14
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] - 2009-02-02
First public release.