source: pacpussensors/trunk/Vislab/lib3dv/eigen/test/eigen2/eigen2_product_large.cpp@ 136

// This file is part of Eigen, a lightweight C++ template library
// for linear algebra. Eigen itself is part of the KDE project.
//
// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// 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 "product.h"

void test_eigen2_product_large()
{
  for(int i = 0; i < g_repeat; i++) {
    CALL_SUBTEST_1( product(MatrixXf(ei_random<int>(1,320), ei_random<int>(1,320))) );
    CALL_SUBTEST_2( product(MatrixXd(ei_random<int>(1,320), ei_random<int>(1,320))) );
    CALL_SUBTEST_3( product(MatrixXi(ei_random<int>(1,320), ei_random<int>(1,320))) );
    CALL_SUBTEST_4( product(MatrixXcf(ei_random<int>(1,50), ei_random<int>(1,50))) );
    CALL_SUBTEST_5( product(Matrix<float,Dynamic,Dynamic,RowMajor>(ei_random<int>(1,320), ei_random<int>(1,320))) );
  }

#ifdef EIGEN_TEST_PART_6
  {
    // test a specific issue in DiagonalProduct
    int N = 1000000;
    VectorXf v = VectorXf::Ones(N);
    MatrixXf m = MatrixXf::Ones(N,3);
    m = (v+v).asDiagonal() * m;
    VERIFY_IS_APPROX(m, MatrixXf::Constant(N,3,2));
  }

  {
    // test deferred resizing in Matrix::operator=
    MatrixXf a = MatrixXf::Random(10,4), b = MatrixXf::Random(4,10), c = a;
    VERIFY_IS_APPROX((a = a * b), (c * b).eval());
  }

  {
    MatrixXf mat1(10,10); mat1.setRandom();
    MatrixXf mat2(32,10); mat2.setRandom();
    MatrixXf result = mat1.row(2)*mat2.transpose();
    VERIFY_IS_APPROX(result, (mat1.row(2)*mat2.transpose()).eval());
  }
#endif
}