| // This file is part of Eigen, a lightweight C++ template library |
| // for linear algebra. |
| // |
| // Copyright (C) 2012 Chen-Pang He <jdh8@ms63.hinet.net> |
| // |
| // This Source Code Form is subject to the terms of the Mozilla |
| // Public License v. 2.0. If a copy of the MPL was not distributed |
| // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. |
| |
| #include "matrix_functions.h" |
| |
| template <typename T> |
| void test2dRotation(double tol) |
| { |
| Matrix<T,2,2> A, B, C; |
| T angle, c, s; |
| |
| A << 0, 1, -1, 0; |
| for (int i = 0; i <= 20; i++) { |
| angle = pow(10, (i-10) / 5.); |
| c = std::cos(angle); |
| s = std::sin(angle); |
| B << c, s, -s, c; |
| |
| C = A.pow(std::ldexp(angle, 1) / M_PI); |
| std::cout << "test2dRotation: i = " << i << " error powerm = " << relerr(C, B) << '\n'; |
| VERIFY(C.isApprox(B, T(tol))); |
| } |
| } |
| |
| template <typename T> |
| void test2dHyperbolicRotation(double tol) |
| { |
| Matrix<std::complex<T>,2,2> A, B, C; |
| T angle, ch = std::cosh(1); |
| std::complex<T> ish(0, std::sinh(1)); |
| |
| A << ch, ish, -ish, ch; |
| for (int i = 0; i <= 20; i++) { |
| angle = std::ldexp(T(i-10), -1); |
| ch = std::cosh(angle); |
| ish = std::complex<T>(0, std::sinh(angle)); |
| B << ch, ish, -ish, ch; |
| |
| C = A.pow(angle); |
| std::cout << "test2dHyperbolicRotation: i = " << i << " error powerm = " << relerr(C, B) << '\n'; |
| VERIFY(C.isApprox(B, T(tol))); |
| } |
| } |
| |
| template <typename MatrixType> |
| void testIntPowers(const MatrixType& m, double tol) |
| { |
| typedef typename MatrixType::RealScalar RealScalar; |
| const MatrixType m1 = MatrixType::Random(m.rows(), m.cols()); |
| const MatrixType identity = MatrixType::Identity(m.rows(), m.cols()); |
| const PartialPivLU<MatrixType> solver(m1); |
| MatrixType m2, m3, m4; |
| |
| m3 = m1.pow(0); |
| m4 = m1.pow(0.); |
| std::cout << "testIntPower: i = 0 error powerm = " << relerr(identity, m3) << " " << relerr(identity, m4) << '\n'; |
| VERIFY(identity == m3 && identity == m4); |
| |
| m3 = m1.pow(1); |
| m4 = m1.pow(1.); |
| std::cout << "testIntPower: i = 1 error powerm = " << relerr(m1, m3) << " " << relerr(m1, m4) << '\n'; |
| VERIFY(m1 == m3 && m1 == m4); |
| |
| m2 = m1 * m1; |
| m3 = m1.pow(2); |
| m4 = m1.pow(2.); |
| std::cout << "testIntPower: i = 2 error powerm = " << relerr(m2, m3) << " " << relerr(m2, m4) << '\n'; |
| VERIFY(m2.isApprox(m3, RealScalar(tol)) && m2.isApprox(m4, RealScalar(tol))); |
| |
| for (int i = 3; i <= 20; i++) { |
| m2 *= m1; |
| m3 = m1.pow(i); |
| m4 = m1.pow(RealScalar(i)); |
| std::cout << "testIntPower: i = " << i << " error powerm = " << relerr(m2, m3) << " " << relerr (m2, m4) << '\n'; |
| VERIFY(m2.isApprox(m3, RealScalar(tol)) && m2.isApprox(m4, RealScalar(tol))); |
| } |
| |
| m2 = solver.inverse(); |
| m3 = m1.pow(-1); |
| m4 = m1.pow(-1.); |
| std::cout << "testIntPower: i = -1 error powerm = " << relerr(m2, m3) << " " << relerr (m2, m4) << '\n'; |
| VERIFY(m2.isApprox(m3, RealScalar(tol)) && m2.isApprox(m4, RealScalar(tol))); |
| |
| for (int i = -2; i >= -20; i--) { |
| m2 = solver.solve(m2); |
| m3 = m1.pow(i); |
| m4 = m1.pow(RealScalar(i)); |
| std::cout << "testIntPower: i = " << i << " error powerm = " << relerr(m2, m3) << " " << relerr (m2, m4) << '\n'; |
| VERIFY(m2.isApprox(m3, RealScalar(tol)) && m2.isApprox(m4, RealScalar(tol))); |
| } |
| } |
| |
| template <typename MatrixType> |
| void testExponentLaws(const MatrixType& m, double tol) |
| { |
| typedef typename MatrixType::RealScalar RealScalar; |
| MatrixType m1, m2, m3, m4, m5; |
| RealScalar x, y; |
| |
| for (int i = 0; i < g_repeat; i++) { |
| generateTestMatrix<MatrixType>::run(m1, m.rows()); |
| x = internal::random<RealScalar>(); |
| y = internal::random<RealScalar>(); |
| m2 = m1.pow(x); |
| m3 = m1.pow(y); |
| |
| m4 = m1.pow(x + y); |
| m5 = m2 * m3; |
| std::cout << "testExponentLaws: error powerm = " << relerr(m4, m5); |
| VERIFY(m4.isApprox(m5, RealScalar(tol))); |
| |
| if (!NumTraits<typename MatrixType::Scalar>::IsComplex) { |
| m4 = m1.pow(x * y); |
| m5 = m2.pow(y); |
| std::cout << " " << relerr(m4, m5); |
| VERIFY(m4.isApprox(m5, RealScalar(tol))); |
| } |
| |
| m4 = (std::abs(x) * m1).pow(y); |
| m5 = std::pow(std::abs(x), y) * m3; |
| std::cout << " " << relerr(m4, m5) << '\n'; |
| VERIFY(m4.isApprox(m5, RealScalar(tol))); |
| } |
| } |
| |
| template <typename MatrixType, typename VectorType> |
| void testMatrixVectorProduct(const MatrixType& m, const VectorType& v, double tol) |
| { |
| typedef typename MatrixType::RealScalar RealScalar; |
| MatrixType m1; |
| VectorType v1, v2, v3; |
| RealScalar pReal; |
| signed char pInt; |
| |
| for (int i = 0; i < g_repeat; i++) { |
| generateTestMatrix<MatrixType>::run(m1, m.rows()); |
| v1 = VectorType::Random(v.rows(), v.cols()); |
| pReal = internal::random<RealScalar>(); |
| pInt = rand(); |
| pInt >>= 2; |
| |
| v2 = m1.pow(pReal).eval() * v1; |
| v3 = m1.pow(pReal) * v1; |
| std::cout << "testMatrixVectorProduct: error powerm = " << relerr(v2, v3); |
| VERIFY(v2.isApprox(v3, RealScalar(tol))); |
| |
| v2 = m1.pow(pInt).eval() * v1; |
| v3 = m1.pow(pInt) * v1; |
| std::cout << " " << relerr(v2, v3) << '\n'; |
| VERIFY(v2.isApprox(v3, RealScalar(tol)) || v2 == v3); |
| } |
| } |
| |
| void test_matrix_power() |
| { |
| CALL_SUBTEST_2(test2dRotation<double>(1e-13)); |
| CALL_SUBTEST_1(test2dRotation<float>(2e-5)); // was 1e-5, relaxed for clang 2.8 / linux / x86-64 |
| CALL_SUBTEST_9(test2dRotation<long double>(1e-13)); |
| CALL_SUBTEST_2(test2dHyperbolicRotation<double>(1e-14)); |
| CALL_SUBTEST_1(test2dHyperbolicRotation<float>(1e-5)); |
| CALL_SUBTEST_9(test2dHyperbolicRotation<long double>(1e-14)); |
| |
| CALL_SUBTEST_2(testIntPowers(Matrix2d(), 1e-13)); |
| CALL_SUBTEST_7(testIntPowers(Matrix<double,3,3,RowMajor>(), 1e-13)); |
| CALL_SUBTEST_3(testIntPowers(Matrix4cd(), 1e-13)); |
| CALL_SUBTEST_4(testIntPowers(MatrixXd(8,8), 1e-13)); |
| CALL_SUBTEST_1(testIntPowers(Matrix2f(), 1e-4)); |
| CALL_SUBTEST_5(testIntPowers(Matrix3cf(), 1e-4)); |
| CALL_SUBTEST_8(testIntPowers(Matrix4f(), 1e-4)); |
| CALL_SUBTEST_6(testIntPowers(MatrixXf(8,8), 1e-4)); |
| |
| CALL_SUBTEST_2(testExponentLaws(Matrix2d(), 1e-13)); |
| CALL_SUBTEST_7(testExponentLaws(Matrix<double,3,3,RowMajor>(), 1e-13)); |
| CALL_SUBTEST_3(testExponentLaws(Matrix4cd(), 1e-13)); |
| CALL_SUBTEST_4(testExponentLaws(MatrixXd(8,8), 1e-13)); |
| CALL_SUBTEST_1(testExponentLaws(Matrix2f(), 1e-4)); |
| CALL_SUBTEST_5(testExponentLaws(Matrix3cf(), 1e-4)); |
| CALL_SUBTEST_8(testExponentLaws(Matrix4f(), 1e-4)); |
| CALL_SUBTEST_6(testExponentLaws(MatrixXf(8,8), 1e-4)); |
| |
| CALL_SUBTEST_2(testMatrixVectorProduct(Matrix2d(), Vector2d(), 1e-13)); |
| CALL_SUBTEST_7(testMatrixVectorProduct(Matrix<double,3,3,RowMajor>(), Vector3d(), 1e-13)); |
| CALL_SUBTEST_3(testMatrixVectorProduct(Matrix4cd(), Vector4cd(), 1e-13)); |
| CALL_SUBTEST_4(testMatrixVectorProduct(MatrixXd(8,8), MatrixXd(8,2), 1e-13)); |
| CALL_SUBTEST_1(testMatrixVectorProduct(Matrix2f(), Vector2f(), 1e-4)); |
| CALL_SUBTEST_5(testMatrixVectorProduct(Matrix3cf(), Vector3cf(), 1e-4)); |
| CALL_SUBTEST_8(testMatrixVectorProduct(Matrix4f(), Vector4f(), 1e-4)); |
| CALL_SUBTEST_6(testMatrixVectorProduct(MatrixXf(8,8), VectorXf(8), 1e-4)); |
| CALL_SUBTEST_10(testMatrixVectorProduct(Matrix<long double,Dynamic,Dynamic>(7,7), Matrix<long double,7,9>(), 1e-13)); |
| } |