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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// 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 "main.h"
using namespace std; template<typename MatrixType> void diagonalmatrices(const MatrixType& m) { typedef typename MatrixType::Index Index; typedef typename MatrixType::Scalar Scalar; typedef typename MatrixType::RealScalar RealScalar; enum { Rows = MatrixType::RowsAtCompileTime, Cols = MatrixType::ColsAtCompileTime }; typedef Matrix<Scalar, Rows, 1> VectorType; typedef Matrix<Scalar, 1, Cols> RowVectorType; typedef Matrix<Scalar, Rows, Rows> SquareMatrixType; typedef DiagonalMatrix<Scalar, Rows> LeftDiagonalMatrix; typedef DiagonalMatrix<Scalar, Cols> RightDiagonalMatrix; typedef Matrix<Scalar, Rows==Dynamic?Dynamic:2*Rows, Cols==Dynamic?Dynamic:2*Cols> BigMatrix; Index rows = m.rows(); Index cols = m.cols();
MatrixType m1 = MatrixType::Random(rows, cols), m2 = MatrixType::Random(rows, cols); VectorType v1 = VectorType::Random(rows), v2 = VectorType::Random(rows); RowVectorType rv1 = RowVectorType::Random(cols), rv2 = RowVectorType::Random(cols); LeftDiagonalMatrix ldm1(v1), ldm2(v2); RightDiagonalMatrix rdm1(rv1), rdm2(rv2); Scalar s1 = internal::random<Scalar>();
SquareMatrixType sq_m1 (v1.asDiagonal()); VERIFY_IS_APPROX(sq_m1, v1.asDiagonal().toDenseMatrix()); sq_m1 = v1.asDiagonal(); VERIFY_IS_APPROX(sq_m1, v1.asDiagonal().toDenseMatrix()); SquareMatrixType sq_m2 = v1.asDiagonal(); VERIFY_IS_APPROX(sq_m1, sq_m2); ldm1 = v1.asDiagonal(); LeftDiagonalMatrix ldm3(v1); VERIFY_IS_APPROX(ldm1.diagonal(), ldm3.diagonal()); LeftDiagonalMatrix ldm4 = v1.asDiagonal(); VERIFY_IS_APPROX(ldm1.diagonal(), ldm4.diagonal()); sq_m1.block(0,0,rows,rows) = ldm1; VERIFY_IS_APPROX(sq_m1, ldm1.toDenseMatrix()); sq_m1.transpose() = ldm1; VERIFY_IS_APPROX(sq_m1, ldm1.toDenseMatrix()); Index i = internal::random<Index>(0, rows-1); Index j = internal::random<Index>(0, cols-1); VERIFY_IS_APPROX( ((ldm1 * m1)(i,j)) , ldm1.diagonal()(i) * m1(i,j) ); VERIFY_IS_APPROX( ((ldm1 * (m1+m2))(i,j)) , ldm1.diagonal()(i) * (m1+m2)(i,j) ); VERIFY_IS_APPROX( ((m1 * rdm1)(i,j)) , rdm1.diagonal()(j) * m1(i,j) ); VERIFY_IS_APPROX( ((v1.asDiagonal() * m1)(i,j)) , v1(i) * m1(i,j) ); VERIFY_IS_APPROX( ((m1 * rv1.asDiagonal())(i,j)) , rv1(j) * m1(i,j) ); VERIFY_IS_APPROX( (((v1+v2).asDiagonal() * m1)(i,j)) , (v1+v2)(i) * m1(i,j) ); VERIFY_IS_APPROX( (((v1+v2).asDiagonal() * (m1+m2))(i,j)) , (v1+v2)(i) * (m1+m2)(i,j) ); VERIFY_IS_APPROX( ((m1 * (rv1+rv2).asDiagonal())(i,j)) , (rv1+rv2)(j) * m1(i,j) ); VERIFY_IS_APPROX( (((m1+m2) * (rv1+rv2).asDiagonal())(i,j)) , (rv1+rv2)(j) * (m1+m2)(i,j) );
BigMatrix big; big.setZero(2*rows, 2*cols); big.block(i,j,rows,cols) = m1; big.block(i,j,rows,cols) = v1.asDiagonal() * big.block(i,j,rows,cols); VERIFY_IS_APPROX((big.block(i,j,rows,cols)) , v1.asDiagonal() * m1 ); big.block(i,j,rows,cols) = m1; big.block(i,j,rows,cols) = big.block(i,j,rows,cols) * rv1.asDiagonal(); VERIFY_IS_APPROX((big.block(i,j,rows,cols)) , m1 * rv1.asDiagonal() ); // scalar multiple
VERIFY_IS_APPROX(LeftDiagonalMatrix(ldm1*s1).diagonal(), ldm1.diagonal() * s1); VERIFY_IS_APPROX(LeftDiagonalMatrix(s1*ldm1).diagonal(), s1 * ldm1.diagonal()); VERIFY_IS_APPROX(m1 * (rdm1 * s1), (m1 * rdm1) * s1); VERIFY_IS_APPROX(m1 * (s1 * rdm1), (m1 * rdm1) * s1); }
void test_diagonalmatrices() { for(int i = 0; i < g_repeat; i++) { CALL_SUBTEST_1( diagonalmatrices(Matrix<float, 1, 1>()) ); CALL_SUBTEST_2( diagonalmatrices(Matrix3f()) ); CALL_SUBTEST_3( diagonalmatrices(Matrix<double,3,3,RowMajor>()) ); CALL_SUBTEST_4( diagonalmatrices(Matrix4d()) ); CALL_SUBTEST_5( diagonalmatrices(Matrix<float,4,4,RowMajor>()) ); CALL_SUBTEST_6( diagonalmatrices(MatrixXcf(internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) ); CALL_SUBTEST_7( diagonalmatrices(MatrixXi(internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) ); CALL_SUBTEST_8( diagonalmatrices(Matrix<double,Dynamic,Dynamic,RowMajor>(internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) ); CALL_SUBTEST_9( diagonalmatrices(MatrixXf(internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) ); } }
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