diff options
author | Gael Guennebaud <g.gael@free.fr> | 2015-02-16 13:19:05 +0100 |
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committer | Gael Guennebaud <g.gael@free.fr> | 2015-02-16 13:19:05 +0100 |
commit | aa6c516ec17fb44dff85b1abf3a1b05d58d3bc01 (patch) | |
tree | cd0b6ce4d023ff6734beecc167749d00f301c017 /Eigen/src/SparseQR/SparseQR.h | |
parent | fc202bab398ed9b78ef8452f8e4ef35e233965f6 (diff) |
Fix many long to int conversion warnings:
- fix usage of Index (API) versus StorageIndex (when multiple indexes are stored)
- use StorageIndex(val) when the input has already been check
- use internal::convert_index<StorageIndex>(val) when val is potentially unsafe (directly comes from user input)
Diffstat (limited to 'Eigen/src/SparseQR/SparseQR.h')
-rw-r--r-- | Eigen/src/SparseQR/SparseQR.h | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/Eigen/src/SparseQR/SparseQR.h b/Eigen/src/SparseQR/SparseQR.h index 920b884e5..ce4a70454 100644 --- a/Eigen/src/SparseQR/SparseQR.h +++ b/Eigen/src/SparseQR/SparseQR.h @@ -296,7 +296,7 @@ void SparseQR<MatrixType,OrderingType>::analyzePattern(const MatrixType& mat) if (!m_perm_c.size()) { m_perm_c.resize(n); - m_perm_c.indices().setLinSpaced(n, 0,n-1); + m_perm_c.indices().setLinSpaced(n, 0,StorageIndex(n-1)); } // Compute the column elimination tree of the permuted matrix @@ -327,8 +327,8 @@ void SparseQR<MatrixType,OrderingType>::factorize(const MatrixType& mat) using std::abs; eigen_assert(m_analysisIsok && "analyzePattern() should be called before this step"); - StorageIndex m = mat.rows(); - StorageIndex n = mat.cols(); + StorageIndex m = StorageIndex(mat.rows()); + StorageIndex n = StorageIndex(mat.cols()); StorageIndex diagSize = (std::min)(m,n); IndexVector mark((std::max)(m,n)); mark.setConstant(-1); // Record the visited nodes IndexVector Ridx(n), Qidx(m); // Store temporarily the row indexes for the current column of R and Q @@ -406,7 +406,7 @@ void SparseQR<MatrixType,OrderingType>::factorize(const MatrixType& mat) for (typename QRMatrixType::InnerIterator itp(m_pmat, col); itp || !found_diag; ++itp) { StorageIndex curIdx = nonzeroCol; - if(itp) curIdx = itp.row(); + if(itp) curIdx = StorageIndex(itp.row()); if(curIdx == nonzeroCol) found_diag = true; // Get the nonzeros indexes of the current column of R @@ -467,7 +467,7 @@ void SparseQR<MatrixType,OrderingType>::factorize(const MatrixType& mat) { for (typename QRMatrixType::InnerIterator itq(m_Q, curIdx); itq; ++itq) { - StorageIndex iQ = itq.row(); + StorageIndex iQ = StorageIndex(itq.row()); if (mark(iQ) != col) { Qidx(nzcolQ++) = iQ; // Add this row to the pattern of Q, |