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Include support for extracting the Lower ($L$) and Upper ($U$) Triangle portions of a Sparse Matrix, i.e., $A = L + U$.
The decomposition includes a strictly lower triangular matrix, i.e., $L_{ij} = [ a_{ij} ~~ for ~~ i > j;~ 0~~ for~~ i <= j ] $, and an upper triangular matrix, i.e., $U_{ij} = [ a_{ij} ~~ for ~~ i <= j;~ 0~~ for~~ i > j ] $.
Currently, sparse matrices are supported and the following storage formats are supported: CSR, COO.
The following is an example of extracting the lower triangular portion of a sparse matrix in COMET DSL:
L[i, j] = read_lowerTri_from_file(0);
The following is an example of extracting the upper triangular portion of a sparse matrix in COMET DSL:
U[i, j] = read_upperTri_from_file(0);
The text was updated successfully, but these errors were encountered:
Include support for extracting the Lower ($L$ ) and Upper ($U$ ) Triangle portions of a Sparse Matrix, i.e., $A = L + U$ .
The decomposition includes a strictly lower triangular matrix, i.e.,$L_{ij} = [ a_{ij} ~~ for ~~ i > j;~ 0~~ for~~ i <= j ] $ , and an upper triangular matrix, i.e., $U_{ij} = [ a_{ij} ~~ for ~~ i <= j;~ 0~~ for~~ i > j ] $ .
Currently, sparse matrices are supported and the following storage formats are supported: CSR, COO.
The following is an example of extracting the lower triangular portion of a sparse matrix in COMET DSL:
The following is an example of extracting the upper triangular portion of a sparse matrix in COMET DSL:
The text was updated successfully, but these errors were encountered: