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72 lines
2.6 KiB
C++
72 lines
2.6 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) 2006-2007 Benoit Jacob <jacob@math.jussieu.fr>
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//
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// Eigen is free software; you can redistribute it and/or modify it under the
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// terms of the GNU General Public License as published by the Free Software
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// Foundation; either version 2 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 General Public License for more
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// details.
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//
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// You should have received a copy of the GNU General Public License along
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// with Eigen; if not, write to the Free Software Foundation, Inc., 51
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// Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
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//
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// As a special exception, if other files instantiate templates or use macros
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// or functions from this file, or you compile this file and link it
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// with other works to produce a work based on this file, this file does not
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// by itself cause the resulting work to be covered by the GNU General Public
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// License. This exception does not invalidate any other reasons why a work
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// based on this file might be covered by the GNU General Public License.
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#include "main.h"
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template<typename MatrixType1,
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typename MatrixType2> void matrixOps(const MatrixType1& m1, const MatrixType2& m2)
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{
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typedef typename MatrixType1::Scalar Scalar;
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int rows1 = m1.rows(), cols1 = m1.cols();
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int rows2 = m2.rows(), cols2 = m2.cols();
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MatrixType1 a(rows1, cols1), b(rows1, cols1), c(b);
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Scalar s;
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a * s;
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s * a;
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a + b;
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a - b;
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(a + b) * s;
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s * (a + b);
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a + b + c;
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a = b;
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a = b + c;
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a = s * (b - c);
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a = eval(a + b);
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a += b;
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a -= b + b;
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a *= s;
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b /= s;
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if(rows1 == cols1) a *= b;
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MatrixType1 d(rows1, cols1);
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MatrixType2 e(rows2, cols2);
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QVERIFY( (d * e).rows() == rows1 && (d * e).cols() == cols2 );
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}
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void EigenTest::testMatrixOps()
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{
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matrixOps(EiMatrix<float, 1, 1>(), EiMatrix<float, 1, 1>());
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matrixOps(EiMatrix<int, 2, 3>(), EiMatrix<int, 3, 1>());
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matrixOps(EiMatrix<double, 3, 3>(), EiMatrix<double, 3, 3>());
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matrixOps(EiMatrix<complex<float>, 4,3>(), EiMatrix<complex<float>, 3,4>());
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matrixOps(EiMatrixXf(1, 1), EiMatrixXf(1, 3));
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matrixOps(EiMatrixXi(2, 2), EiMatrixXi(2, 2));
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matrixOps(EiMatrixXd(3, 5), EiMatrixXd(5, 1));
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matrixOps(EiMatrixXcf(4, 4), EiMatrixXcf(4, 4));
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matrixOps(EiMatrixXd(3, 5), EiMatrix<double, 5, 1>());
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matrixOps(EiMatrix4cf(), EiMatrixXcf(4, 4));
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}
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