// 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)); } void 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())); } }