33 #ifndef EIGEN_PARTIALLU_LAPACK_H 34 #define EIGEN_PARTIALLU_LAPACK_H 44 #define EIGEN_MKL_LU_PARTPIV(EIGTYPE, MKLTYPE, MKLPREFIX) \ 45 template<int StorageOrder> \ 46 struct partial_lu_impl<EIGTYPE, StorageOrder, lapack_int> \ 49 static lapack_int blocked_lu(lapack_int rows, lapack_int cols, EIGTYPE* lu_data, lapack_int luStride, lapack_int* row_transpositions, lapack_int& nb_transpositions, lapack_int maxBlockSize=256) \ 51 EIGEN_UNUSED_VARIABLE(maxBlockSize);\ 52 lapack_int matrix_order, first_zero_pivot; \ 53 lapack_int m, n, lda, *ipiv, info; \ 56 matrix_order = StorageOrder==RowMajor ? LAPACK_ROW_MAJOR : LAPACK_COL_MAJOR; \ 59 ipiv = row_transpositions; \ 62 nb_transpositions = 0; \ 64 info = LAPACKE_##MKLPREFIX##getrf( matrix_order, m, n, (MKLTYPE*)a, lda, ipiv ); \ 66 for(int i=0;i<m;i++) { ipiv[i]--; if (ipiv[i]!=i) nb_transpositions++; } \ 68 eigen_assert(info >= 0); \ 71 first_zero_pivot = info; \ 72 return first_zero_pivot; \ 85 #endif // EIGEN_PARTIALLU_LAPACK_H #define EIGEN_MKL_LU_PARTPIV(EIGTYPE, MKLTYPE, MKLPREFIX)
iterative scaling algorithm to equilibrate rows and column norms in matrices