| /external/eigen/Eigen/src/SparseLU/ |
| SparseLU_panel_bmod.h | 62 Index fsupc, nsupc, nsupr, nrow; local
82 nrow = nsupr - nsupc;
144 MappedMatrixBlock B(glu.lusup.data()+luptr, nrow, u_rows, OuterStride<>(lda) );
145 eigen_assert(tempv.size()>w*ldu + nrow*w + 1);
147 Index ldl = internal::first_multiple<Index>(nrow, PacketSize);
149 MappedMatrixBlock L(tempv.data()+w*ldu+offset, nrow, u_cols, OuterStride<>(ldl));
179 for (Index i = 0; i < nrow; i++)
209 if(segsize==1) LU_kernel_bmod<1>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros);
210 else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros);
211 else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros)
[all...] |
| SparseLU_kernel_bmod.h | 27 * \param nrow Number of rows in the rectangular part of the supernode
34 const Index nrow, IndexVector& lsub, const Index lptr, const Index no_zeros);
40 const Index nrow, IndexVector& lsub, const Index lptr, const Index no_zeros)
66 Index ldl = internal::first_multiple(nrow, PacketSize);
67 Map<Matrix<Scalar,Dynamic,SegSizeAtCompileTime, ColMajor>, 0, OuterStride<> > B( &(lusup.data()[luptr]), nrow, segsize, OuterStride<>(lda) );
70 Map<Matrix<Scalar,Dynamic,1>, 0, OuterStride<> > l(tempv.data()+segsize+aligned_offset+aligned_with_B_offset, nrow, OuterStride<>(ldl) );
84 for (i = 0; i < nrow; i++)
95 const Index lda, const Index nrow, IndexVector& lsub, const Index lptr, const Index no_zeros);
101 const Index lda, const Index nrow, IndexVector& lsub, const Index lptr, const Index no_zeros)
110 for (; i+1 < nrow; i+=2
[all...] |
| SparseLU_column_bmod.h | 57 Index lptr, nrow, isub, irow, nextlu, new_next, ufirst; local
98 nrow = nsupr - d_fsupc - nsupc;
106 LU_kernel_bmod<1>::run(segsize, dense, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros);
108 LU_kernel_bmod<Dynamic>::run(segsize, dense, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros);
161 nrow = nsupr - d_fsupc - nsupc;
170 new (&A) MappedMatrixBlock ( &(glu.lusup.data()[luptr+nsupc]), nrow, nsupc, OuterStride<>(lda) );
171 VectorBlock<ScalarVector> l(glu.lusup, ufirst+nsupc, nrow);
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| SparseLU_SupernodalMatrix.h | 250 Index nrow = nsupr - nsupc; // Number of rows in the non-diagonal part of the supernode local
278 new (&A) Map<const Matrix<Scalar,Dynamic,Dynamic, ColMajor>, 0, OuterStride<> > ( &(Lval[luptr+nsupc]), nrow, nsupc, OuterStride<>(lda) );
279 work.topRows(nrow).noalias() = A * U;
285 for (Index i = 0; i < nrow; i++)
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| /external/pdfium/third_party/libtiff/ |
| tif_getimage.c | 633 uint32 nrow; local
684 for (row = 0; ret != 0 && row < h; row += nrow)
687 nrow = (row + rowstoread > h ? h - row : rowstoread);
728 (*put)(img, raster+y*w+tocol, tocol, y, this_tw, nrow, fromskew, this_toskew, buf + pos);
739 y += ((flip & FLIP_VERTICALLY) ? -(int32) nrow : (int32) nrow);
786 uint32 nrow; local
833 for (row = 0; ret != 0 && row < h; row += nrow)
836 nrow = (row + rowstoread > h ? h - row : rowstoread);
909 (*put)(img, raster+y*w+tocol, tocol, y, this_tw, nrow, fromskew, this_toskew,
956 uint32 row, y, nrow, nrowsub, rowstoread; local
1046 uint32 row, y, nrow, rowstoread; local
[all...] |
| /external/eigen/Eigen/src/SuperLUSupport/ |
| SuperLUSupport.h | 184 res.nrow = internal::convert_index<int>(mat.rows());
200 res.nrow = internal::convert_index<int>(mat.cols());
206 res.nrow = internal::convert_index<int>(mat.rows());
242 res.nrow = mat.rows();
259 res.nrow = mat.cols();
265 res.nrow = mat.rows();
303 Index outerSize = (Flags&RowMajor)==RowMajor ? sluMat.ncol : sluMat.nrow;
306 sluMat.nrow, sluMat.ncol, sluMat.storage.outerInd[outerSize],
412 m_sluB.nrow = 0;
[all...] |
| /external/eigen/Eigen/src/CholmodSupport/ |
| CholmodSupport.h | 62 res.nrow = mat.rows();
140 res.nrow = mat.rows();
142 res.nzmax = res.nrow * res.ncol;
158 (cm.nrow, cm.ncol, static_cast<StorageIndex*>(cm.p)[cm.ncol],
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| /external/eigen/Eigen/src/SPQRSupport/ |
| SuiteSparseQRSupport.h | 272 res = Matrix<Scalar,ResType::RowsAtCompileTime,ResType::ColsAtCompileTime>::Map(reinterpret_cast<Scalar*>(x_cd->x), x_cd->nrow, x_cd->ncol);
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