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generalize our internal rank K update routine to support more general A*B product while evaluating only one triangular part and make it available via, e.g.:
R.triangularView<Lower>() += s * A * B;
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@@ -73,6 +73,7 @@ ei_add_test(product_syrk)
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ei_add_test(product_trmv)
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ei_add_test(product_trmm)
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ei_add_test(product_trsolve)
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ei_add_test(product_mmtr)
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ei_add_test(product_notemporary)
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ei_add_test(stable_norm)
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ei_add_test(bandmatrix)
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80
test/product_mmtr.cpp
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80
test/product_mmtr.cpp
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@@ -0,0 +1,80 @@
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2010 Gael Guennebaud <gael.guennebaud@inria.fr>
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//
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// Eigen is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 3 of the License, or (at your option) any later version.
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//
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// Alternatively, you can redistribute it and/or
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// modify it under the terms of the GNU General Public License as
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// published by the Free Software Foundation; either version 2 of
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// the License, or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#include "main.h"
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#define CHECK_MMTR(DEST, TRI, OP) { \
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ref2 = ref1 = DEST; \
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DEST.template triangularView<TRI>() OP; \
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ref1 OP; \
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ref2.template triangularView<TRI>() = ref1; \
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VERIFY_IS_APPROX(DEST,ref2); \
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}
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template<typename Scalar> void mmtr(int size)
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{
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typedef typename NumTraits<Scalar>::Real RealScalar;
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typedef Matrix<Scalar,Dynamic,Dynamic,ColMajor> MatrixColMaj;
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typedef Matrix<Scalar,Dynamic,Dynamic,RowMajor> MatrixRowMaj;
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DenseIndex othersize = internal::random<DenseIndex>(1,200);
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MatrixColMaj matc(size, size);
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MatrixRowMaj matr(size, size);
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MatrixColMaj ref1(size, size), ref2(size, size);
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MatrixColMaj soc(size,othersize); soc.setRandom();
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MatrixColMaj osc(othersize,size); osc.setRandom();
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MatrixRowMaj sor(size,othersize); sor.setRandom();
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MatrixRowMaj osr(othersize,size); osr.setRandom();
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Scalar s = internal::random<Scalar>();
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CHECK_MMTR(matc, Lower, = s*soc*sor.adjoint());
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CHECK_MMTR(matc, Upper, = s*(soc*soc.adjoint()));
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CHECK_MMTR(matr, Lower, = s*soc*soc.adjoint());
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CHECK_MMTR(matr, Upper, = soc*(s*sor.adjoint()));
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CHECK_MMTR(matc, Lower, += s*soc*soc.adjoint());
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CHECK_MMTR(matc, Upper, += s*(soc*sor.transpose()));
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CHECK_MMTR(matr, Lower, += s*sor*soc.adjoint());
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CHECK_MMTR(matr, Upper, += soc*(s*soc.adjoint()));
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CHECK_MMTR(matc, Lower, -= s*soc*soc.adjoint());
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CHECK_MMTR(matc, Upper, -= s*(osc.transpose()*osc.conjugate()));
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CHECK_MMTR(matr, Lower, -= s*soc*soc.adjoint());
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CHECK_MMTR(matr, Upper, -= soc*(s*soc.adjoint()));
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}
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void test_product_mmtr()
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{
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for(int i = 0; i < g_repeat ; i++)
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{
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CALL_SUBTEST_1((mmtr<float>(internal::random<int>(1,320))));
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CALL_SUBTEST_2((mmtr<double>(internal::random<int>(1,320))));
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CALL_SUBTEST_3((mmtr<std::complex<float> >(internal::random<int>(1,200))));
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CALL_SUBTEST_4((mmtr<std::complex<double> >(internal::random<int>(1,200))));
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}
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}
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