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https://gitlab.com/libeigen/eigen.git
synced 2026-04-10 11:34:33 +08:00
Tidy up and write dox.
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@@ -9,7 +9,7 @@
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#include "matrix_functions.h"
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template <typename T>
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template<typename T>
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void test2dRotation(double tol)
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{
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Matrix<T,2,2> A, B, C;
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@@ -28,7 +28,7 @@ void test2dRotation(double tol)
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}
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}
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template <typename T>
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template<typename T>
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void test2dHyperbolicRotation(double tol)
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{
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Matrix<std::complex<T>,2,2> A, B, C;
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@@ -48,55 +48,7 @@ void test2dHyperbolicRotation(double tol)
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}
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}
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template <typename MatrixType>
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void testIntPowers(const MatrixType& m, double tol)
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{
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typedef typename MatrixType::RealScalar RealScalar;
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const MatrixType m1 = MatrixType::Random(m.rows(), m.cols());
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const MatrixType identity = MatrixType::Identity(m.rows(), m.cols());
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const PartialPivLU<MatrixType> solver(m1);
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MatrixType m2, m3, m4;
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m3 = m1.pow(0);
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m4 = m1.pow(0.);
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std::cout << "testIntPower: i = 0 error powerm = " << relerr(identity, m3) << " " << relerr(identity, m4) << '\n';
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VERIFY(identity == m3 && identity == m4);
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m3 = m1.pow(1);
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m4 = m1.pow(1.);
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std::cout << "testIntPower: i = 1 error powerm = " << relerr(m1, m3) << " " << relerr(m1, m4) << '\n';
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VERIFY(m1 == m3 && m1 == m4);
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m2.noalias() = m1 * m1;
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m3 = m1.pow(2);
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m4 = m1.pow(2.);
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std::cout << "testIntPower: i = 2 error powerm = " << relerr(m2, m3) << " " << relerr(m2, m4) << '\n';
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VERIFY(m2.isApprox(m3, RealScalar(tol)) && m2.isApprox(m4, RealScalar(tol)));
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for (int i = 3; i <= 20; i++) {
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m2 *= m1;
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m3 = m1.pow(i);
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m4 = m1.pow(RealScalar(i));
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std::cout << "testIntPower: i = " << i << " error powerm = " << relerr(m2, m3) << " " << relerr (m2, m4) << '\n';
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VERIFY(m2.isApprox(m3, RealScalar(tol)) && m2.isApprox(m4, RealScalar(tol)));
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}
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m2 = solver.inverse();
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m3 = m1.pow(-1);
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m4 = m1.pow(-1.);
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std::cout << "testIntPower: i = -1 error powerm = " << relerr(m2, m3) << " " << relerr (m2, m4) << '\n';
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VERIFY(m2.isApprox(m3, RealScalar(tol)) && m2.isApprox(m4, RealScalar(tol)));
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for (int i = -2; i >= -20; i--) {
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m2 = solver.solve(m2);
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m3 = m1.pow(i);
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m4 = m1.pow(RealScalar(i));
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std::cout << "testIntPower: i = " << i << " error powerm = " << relerr(m2, m3) << " " << relerr (m2, m4) << '\n';
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VERIFY(m2.isApprox(m3, RealScalar(tol)) && m2.isApprox(m4, RealScalar(tol)));
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}
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}
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template <typename MatrixType>
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template<typename MatrixType>
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void testExponentLaws(const MatrixType& m, double tol)
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{
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typedef typename MatrixType::RealScalar RealScalar;
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@@ -129,31 +81,40 @@ void testExponentLaws(const MatrixType& m, double tol)
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}
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}
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template <typename MatrixType, typename VectorType>
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template<typename MatrixType, typename VectorType>
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void testMatrixVectorProduct(const MatrixType& m, const VectorType& v, double tol)
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{
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typedef typename MatrixType::RealScalar RealScalar;
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MatrixType m1;
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VectorType v1, v2, v3;
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RealScalar pReal;
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signed char pInt;
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RealScalar p;
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for (int i = 0; i < g_repeat; i++) {
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generateTestMatrix<MatrixType>::run(m1, m.rows());
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v1 = VectorType::Random(v.rows(), v.cols());
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pReal = internal::random<RealScalar>();
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pInt = rand();
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pInt >>= 2;
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p = internal::random<RealScalar>();
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v2.noalias() = m1.pow(pReal).eval() * v1;
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v3.noalias() = m1.pow(pReal) * v1;
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std::cout << "testMatrixVectorProduct: error powerm = " << relerr(v2, v3);
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VERIFY(v2.isApprox(v3, RealScalar(tol)));
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v2.noalias() = m1.pow(p).eval() * v1;
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v1 = m1.pow(p) * v1;
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std::cout << "testMatrixVectorProduct: error powerm = " << relerr(v2, v1) << '\n';
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VERIFY(v2.isApprox(v1, RealScalar(tol)));
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}
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}
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v2.noalias() = m1.pow(pInt).eval() * v1;
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v3.noalias() = m1.pow(pInt) * v1;
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std::cout << " " << relerr(v2, v3) << '\n';
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VERIFY(v2.isApprox(v3, RealScalar(tol)) || v2 == v3);
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template<typename MatrixType>
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void testAliasing(const MatrixType& m)
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{
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typedef typename MatrixType::RealScalar RealScalar;
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MatrixType m1, m2;
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RealScalar p;
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for (int i = 0; i < g_repeat; i++) {
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generateTestMatrix<MatrixType>::run(m1, m.rows());
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p = internal::random<RealScalar>();
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m2 = m1.pow(p);
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m1 = m1.pow(p);
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VERIFY(m1 == m2);
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}
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}
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@@ -166,15 +127,6 @@ void test_matrix_power()
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CALL_SUBTEST_1(test2dHyperbolicRotation<float>(1e-5));
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CALL_SUBTEST_9(test2dHyperbolicRotation<long double>(1e-14));
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CALL_SUBTEST_2(testIntPowers(Matrix2d(), 1e-13));
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CALL_SUBTEST_7(testIntPowers(Matrix<double,3,3,RowMajor>(), 1e-13));
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CALL_SUBTEST_3(testIntPowers(Matrix4cd(), 1e-13));
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CALL_SUBTEST_4(testIntPowers(MatrixXd(8,8), 1e-13));
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CALL_SUBTEST_1(testIntPowers(Matrix2f(), 1e-4));
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CALL_SUBTEST_5(testIntPowers(Matrix3cf(), 1e-4));
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CALL_SUBTEST_8(testIntPowers(Matrix4f(), 1e-4));
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CALL_SUBTEST_6(testIntPowers(MatrixXf(8,8), 1e-4));
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CALL_SUBTEST_2(testExponentLaws(Matrix2d(), 1e-13));
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CALL_SUBTEST_7(testExponentLaws(Matrix<double,3,3,RowMajor>(), 1e-13));
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CALL_SUBTEST_3(testExponentLaws(Matrix4cd(), 1e-13));
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@@ -192,5 +144,11 @@ void test_matrix_power()
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CALL_SUBTEST_5(testMatrixVectorProduct(Matrix3cf(), Vector3cf(), 1e-4));
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CALL_SUBTEST_8(testMatrixVectorProduct(Matrix4f(), Vector4f(), 1e-4));
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CALL_SUBTEST_6(testMatrixVectorProduct(MatrixXf(8,8), VectorXf(8), 1e-4));
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CALL_SUBTEST_10(testMatrixVectorProduct(Matrix<long double,Dynamic,Dynamic>(7,7), Matrix<long double,7,9>(), 1e-13));
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CALL_SUBTEST_9(testMatrixVectorProduct(Matrix<long double,Dynamic,Dynamic>(7,7), Matrix<long double,7,9>(), 1e-13));
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CALL_SUBTEST_7(testAliasing(Matrix<double,3,3,RowMajor>()));
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CALL_SUBTEST_3(testAliasing(Matrix4cd()));
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CALL_SUBTEST_4(testAliasing(MatrixXd(8,8)));
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CALL_SUBTEST_5(testAliasing(Matrix3cf()));
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CALL_SUBTEST_6(testAliasing(MatrixXf(8,8)));
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}
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