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| author |  Desire NUENTSA <desire.nuentsa_wakam@inria.fr> | 2013-01-29 17:48:30 +0100 |
|---|---|---|
| committer | Desire NUENTSA <desire.nuentsa_wakam@inria.fr> | 2013-01-29 17:48:30 +0100 |
| commit | 35647b01334370d0ddfd5d2d3376d4200947b007 (patch) | |
| tree | 1c7c4998b9db9aac4842b3dcb9cc4f8472117b2e /test/spqr_support.cpp | |
| parent | 8bc00925e511e55a6a9518b63b39994392625099 (diff) | |
Correct bug in SPQR backend and replace matrixQR by matrixR
Diffstat (limited to 'test/spqr_support.cpp')
| -rw-r--r-- | test/spqr_support.cpp | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/test/spqr_support.cpp b/test/spqr_support.cpp index fbfd4c58b..7e4b6e18a 100644 --- a/test/spqr_support.cpp +++ b/test/spqr_support.cpp @@ -15,7 +15,7 @@ int generate_sparse_rectangular_problem(MatrixType& A, DenseMat& dA, int maxRows eigen_assert(maxRows >= maxCols); typedef typename MatrixType::Scalar Scalar; int rows = internal::random<int>(1,maxRows); - int cols = internal::random<int>(1,maxCols); + int cols = internal::random<int>(1,rows); double density = (std::max)(8./(rows*cols), 0.01); A.resize(rows,rows); @@ -35,8 +35,8 @@ template<typename Scalar> void test_spqr_scalar() SPQR<MatrixType> solver; generate_sparse_rectangular_problem(A,dA); - int n = A.cols(); - b = DenseVector::Random(n); + int m = A.rows(); + b = DenseVector::Random(m); solver.compute(A); if (solver.info() != Success) { |