mirror/eigen
2
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2025-03-31 19:00:35 +08:00
Code Issues Packages Projects Releases Wiki Activity

Sparse module: bugfix in SparseMatrix::resize(), now the indices are

Browse Source 
correctly initialized to 0.
This commit is contained in:
Gael Guennebaud 2009-01-15 13:30:50 +00:00
parent 96e1e582ff
commit 87241089e1
4 changed files with 21 additions and 16 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

1
Eigen/src/Sparse/SparseMatrix.h
View File

@ -244,6 +244,7 @@ class SparseMatrix
delete[] m_outerIndex;
m_outerIndex = new int [outerSize+1];
m_outerSize = outerSize;
memset(m_outerIndex, 0, (m_outerSize+1)*sizeof(int));
}
}
void resizeNonZeros(int size)

2
test/cholesky.cpp
View File

@ -21,7 +21,7 @@
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
#define EIGEN_DONT_VECTORIZE
#include "main.h"
#include <Eigen/Cholesky>
#include <Eigen/LU>

6
test/mixingtypes.cpp
View File

@ -23,8 +23,14 @@
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
#ifndef EIGEN_NO_STATIC_ASSERT
#define EIGEN_NO_STATIC_ASSERT // turn static asserts into runtime asserts in order to check them
#endif
#ifndef EIGEN_DONT_VECTORIZE
#define EIGEN_DONT_VECTORIZE // SSE intrinsics aren't designed to allow mixing types
#endif
#include "main.h"

28
test/sparse_basic.cpp
View File

@ -174,21 +174,19 @@ template<typename Scalar> void sparse_basic(int rows, int cols)
std::cerr << m1 << "\n\n" << m2 << "\n";
VERIFY_IS_APPROX(m2,m1);
}
// {
// m.setZero();
// VERIFY_IS_NOT_APPROX(m, refMat);
// // RandomSetter<SparseMatrix<Scalar> > w(m);
// RandomSetter<SparseMatrix<Scalar>, GoogleDenseHashMapTraits > w(m);
// // RandomSetter<SparseMatrix<Scalar>, GnuHashMapTraits > w(m);
// std::vector<Vector2i> remaining = nonzeroCoords;
// while(!remaining.empty())
// {
// int i = ei_random<int>(0,remaining.size()-1);
// w(remaining[i].x(),remaining[i].y()) = refMat.coeff(remaining[i].x(),remaining[i].y());
// remaining[i] = remaining.back();
// remaining.pop_back();
// }
// }
// test RandomSetter
{
SparseMatrix<Scalar> m1(rows,cols), m2(rows,cols);
DenseMatrix refM1 = DenseMatrix::Zero(rows, rows);
initSparse<Scalar>(density, refM1, m1);
{
Eigen::RandomSetter<SparseMatrix<Scalar> > setter(m2);
for (int j=0; j<m1.outerSize(); ++j)
for (typename SparseMatrix<Scalar>::InnerIterator i(m1,j); i; ++i)
setter(i.index(), j) = i.value();
}
VERIFY_IS_APPROX(m1, m2);
}
// std::cerr << m.transpose() << "\n\n" << refMat.transpose() << "\n\n";
// VERIFY_IS_APPROX(m, refMat);