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a2f8d4be6a
This unifies + and - and moreover this patch introduces coeff-wise * and / based on this. Also, corresponding test.
85 lines
3.2 KiB
C++
85 lines
3.2 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra. Eigen itself is part of the KDE project.
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//
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// Copyright (C) 2006-2008 Benoit Jacob <jacob@math.jussieu.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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#include <iostream>
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#include <cmath>
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#include <cstdlib>
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namespace Eigen {
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template<typename Scalar> struct AddIfNull {
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static Scalar op(const Scalar a, const Scalar b) {return a<1e-3 ? b : a;}
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};
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template<typename MatrixType> void cwiseops(const MatrixType& m)
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{
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typedef typename MatrixType::Scalar Scalar;
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typedef Matrix<Scalar, MatrixType::Traits::RowsAtCompileTime, 1> VectorType;
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int rows = m.rows();
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int cols = m.cols();
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MatrixType m1 = MatrixType::random(rows, cols),
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m2 = MatrixType::random(rows, cols),
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m3(rows, cols),
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mzero = MatrixType::zero(rows, cols),
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mones = MatrixType::ones(rows, cols),
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identity = Matrix<Scalar, MatrixType::Traits::RowsAtCompileTime, MatrixType::Traits::RowsAtCompileTime>
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::identity(rows, rows),
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square = Matrix<Scalar, MatrixType::Traits::RowsAtCompileTime, MatrixType::Traits::RowsAtCompileTime>
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::random(rows, rows);
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VectorType v1 = VectorType::random(rows),
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v2 = VectorType::random(rows),
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vzero = VectorType::zero(rows);
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m2 = m2.cwise<AddIfNull>(mones);
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//m2 = cwise<AddIfNull>(m2,mones);
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std::cout << m2 << "\n";
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VERIFY_IS_APPROX( mzero, m1-m1);
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VERIFY_IS_APPROX( m2, m1+m2-m1);
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VERIFY_IS_APPROX( mones, m2.cwiseQuotient(m2));
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VERIFY_IS_APPROX( m1.cwiseProduct(m2), m2.cwiseProduct(m1));
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//VERIFY_IS_APPROX( m1, m2.cwiseProduct(m1).cwiseQuotient(m2));
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// VERIFY_IS_APPROX( cwiseMin(m1,m2), cwiseMin(m2,m1) );
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// VERIFY_IS_APPROX( cwiseMin(m1,m1+mones), m1 );
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// VERIFY_IS_APPROX( cwiseMin(m1,m1-mones), m1-mones );
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}
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void EigenTest::testCwiseops()
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{
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for(int i = 0; i < 1/*m_repeat*/ ; i++) {
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// cwiseops(Matrix<float, 1, 1>());
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// cwiseops(Matrix4d());
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// cwiseops(MatrixXcf(3, 3));
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cwiseops(MatrixXi(8, 12));
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// cwiseops(MatrixXcd(20, 20));
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}
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}
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} // namespace Eigen
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