// This file is part of Eigen, a lightweight C++ template library // for linear algebra. // // Copyright (C) 2008-2009 Gael Guennebaud // // 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" #define VERIFY_TRSM(TRI, XB) \ { \ (XB).setRandom(); \ ref = (XB); \ (TRI).solveInPlace(XB); \ VERIFY_IS_APPROX((TRI).toDenseMatrix() * (XB), ref); \ (XB).setRandom(); \ ref = (XB); \ (XB) = (TRI).solve(XB); \ VERIFY_IS_APPROX((TRI).toDenseMatrix() * (XB), ref); \ } #define VERIFY_TRSM_ONTHERIGHT(TRI, XB) \ { \ (XB).setRandom(); \ ref = (XB); \ (TRI).transpose().template solveInPlace(XB.transpose()); \ VERIFY_IS_APPROX((XB).transpose() * (TRI).transpose().toDenseMatrix(), ref.transpose()); \ (XB).setRandom(); \ ref = (XB); \ (XB).transpose() = (TRI).transpose().template solve(XB.transpose()); \ VERIFY_IS_APPROX((XB).transpose() * (TRI).transpose().toDenseMatrix(), ref.transpose()); \ } template void trsolve(int size = Size, int cols = Cols) { typedef typename NumTraits::Real RealScalar; Matrix cmLhs(size, size); Matrix rmLhs(size, size); enum { colmajor = Size == 1 ? RowMajor : ColMajor, rowmajor = Cols == 1 ? ColMajor : RowMajor }; Matrix cmRhs(size, cols); Matrix rmRhs(size, cols); Matrix ref(size, cols); cmLhs.setRandom(); cmLhs *= static_cast(0.1); cmLhs.diagonal().array() += static_cast(1); rmLhs.setRandom(); rmLhs *= static_cast(0.1); rmLhs.diagonal().array() += static_cast(1); VERIFY_TRSM(cmLhs.conjugate().template triangularView(), cmRhs); VERIFY_TRSM(cmLhs.adjoint().template triangularView(), cmRhs); VERIFY_TRSM(cmLhs.template triangularView(), cmRhs); VERIFY_TRSM(cmLhs.template triangularView(), rmRhs); VERIFY_TRSM(cmLhs.conjugate().template triangularView(), rmRhs); VERIFY_TRSM(cmLhs.adjoint().template triangularView(), rmRhs); VERIFY_TRSM(cmLhs.conjugate().template triangularView(), cmRhs); VERIFY_TRSM(cmLhs.template triangularView(), rmRhs); VERIFY_TRSM(rmLhs.template triangularView(), cmRhs); VERIFY_TRSM(rmLhs.conjugate().template triangularView(), rmRhs); VERIFY_TRSM_ONTHERIGHT(cmLhs.conjugate().template triangularView(), cmRhs); VERIFY_TRSM_ONTHERIGHT(cmLhs.template triangularView(), cmRhs); VERIFY_TRSM_ONTHERIGHT(cmLhs.template triangularView(), rmRhs); VERIFY_TRSM_ONTHERIGHT(cmLhs.conjugate().template triangularView(), rmRhs); VERIFY_TRSM_ONTHERIGHT(cmLhs.conjugate().template triangularView(), cmRhs); VERIFY_TRSM_ONTHERIGHT(cmLhs.template triangularView(), rmRhs); VERIFY_TRSM_ONTHERIGHT(rmLhs.template triangularView(), cmRhs); VERIFY_TRSM_ONTHERIGHT(rmLhs.conjugate().template triangularView(), rmRhs); int c = internal::random(0, cols - 1); VERIFY_TRSM(rmLhs.template triangularView(), rmRhs.col(c)); VERIFY_TRSM(cmLhs.template triangularView(), rmRhs.col(c)); // destination with a non-default inner-stride // see bug 1741 { typedef Matrix MatrixX; MatrixX buffer(2 * cmRhs.rows(), 2 * cmRhs.cols()); Map, 0, Stride > map1( buffer.data(), cmRhs.rows(), cmRhs.cols(), Stride(2 * cmRhs.outerStride(), 2)); Map, 0, Stride > map2( buffer.data(), rmRhs.rows(), rmRhs.cols(), Stride(2 * rmRhs.outerStride(), 2)); buffer.setZero(); VERIFY_TRSM(cmLhs.conjugate().template triangularView(), map1); buffer.setZero(); VERIFY_TRSM(cmLhs.template triangularView(), map2); } if (Size == Dynamic) { cmLhs.resize(0, 0); cmRhs.resize(0, cmRhs.cols()); Matrix res = cmLhs.template triangularView().solve(cmRhs); VERIFY_IS_EQUAL(res.rows(), 0); VERIFY_IS_EQUAL(res.cols(), cmRhs.cols()); res = cmRhs; cmLhs.template triangularView().solveInPlace(res); VERIFY_IS_EQUAL(res.rows(), 0); VERIFY_IS_EQUAL(res.cols(), cmRhs.cols()); } } EIGEN_DECLARE_TEST(product_trsolve) { for (int i = 0; i < g_repeat; i++) { // matrices CALL_SUBTEST_1((trsolve(internal::random(1, EIGEN_TEST_MAX_SIZE), internal::random(1, EIGEN_TEST_MAX_SIZE)))); CALL_SUBTEST_2((trsolve(internal::random(1, EIGEN_TEST_MAX_SIZE), internal::random(1, EIGEN_TEST_MAX_SIZE)))); CALL_SUBTEST_3((trsolve, Dynamic, Dynamic>(internal::random(1, EIGEN_TEST_MAX_SIZE / 2), internal::random(1, EIGEN_TEST_MAX_SIZE / 2)))); CALL_SUBTEST_4((trsolve, Dynamic, Dynamic>( internal::random(1, EIGEN_TEST_MAX_SIZE / 2), internal::random(1, EIGEN_TEST_MAX_SIZE / 2)))); // vectors CALL_SUBTEST_5((trsolve(internal::random(1, EIGEN_TEST_MAX_SIZE)))); CALL_SUBTEST_6((trsolve(internal::random(1, EIGEN_TEST_MAX_SIZE)))); CALL_SUBTEST_7((trsolve, Dynamic, 1>(internal::random(1, EIGEN_TEST_MAX_SIZE)))); CALL_SUBTEST_8((trsolve, Dynamic, 1>(internal::random(1, EIGEN_TEST_MAX_SIZE)))); // meta-unrollers CALL_SUBTEST_9((trsolve())); CALL_SUBTEST_10((trsolve())); CALL_SUBTEST_11((trsolve, 4, 1>())); CALL_SUBTEST_12((trsolve())); CALL_SUBTEST_13((trsolve())); CALL_SUBTEST_14((trsolve())); } }