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60804c306d
- bugfix in SparseMatrix - add a sparse unit test * renamed Transform::affine => linear
66 lines
2.0 KiB
C++
66 lines
2.0 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) 2008 Daniel Gomez Ferro <dgomezferro@gmail.com>
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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 <Eigen/Sparse>
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void test_sparse()
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{
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int rows = 4, cols = 4;
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SparseMatrix<double> m(rows, cols);
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m.startFill(rows);
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m.fill(0, 2) = 2;
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m.fill(1, 2) = 1;
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m.fill(0, 3) = 5;
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m.endFill();
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m.coeffRef(0, 2) = 3;
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VERIFY_RAISES_ASSERT( m.coeffRef(0, 0) = 5 );
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VERIFY_IS_MUCH_SMALLER_THAN( m.coeff(0, 0), 0.000001 );
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VERIFY_IS_MUCH_SMALLER_THAN( m.coeff(0, 1), 0.000001 );
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VERIFY_IS_MUCH_SMALLER_THAN( m.coeff(2, 1), 0.000001 );
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VERIFY_IS_APPROX( m.coeff(0, 2), 3.0 );
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VERIFY_IS_APPROX( m.coeff(1, 2), 1.0 );
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VERIFY_IS_APPROX( m.coeff(0, 3), 5.0 );
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Matrix4d dm;
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double r;
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m.startFill(rows*cols);
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for(int i=0; i<cols; i++) {
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for(int j=0; j<rows; j++) {
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r = rand();
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m.fill(j, i) = r;
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dm(j, i) = r;
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}
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}
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m.endFill();
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for(int i=0; i<cols; i++) {
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for(int j=0; j<rows; j++) {
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VERIFY_IS_APPROX( m.coeff(j, i), dm(j, i) );
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}
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}
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}
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