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template<typename T > |
DistributedMatrix< T > | madness::column_distributed_matrix (World &world, int64_t n, int64_t m, int64_t coltile=0) |
| Generates an (n,m) matrix distributed by columns (row dimension is not distributed) More...
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static DistributedMatrixDistribution | madness::column_distributed_matrix_distribution (World &world, int64_t n, int64_t m, int64_t coltile) |
| Generates distribution for an (n,m) matrix distributed by columns (row dimension is not distributed) More...
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template<typename T > |
DistributedMatrix< T > | madness::concatenate_columns (const DistributedMatrix< T > &a, const DistributedMatrix< T > &b) |
| Generates a row-distributed matrix with rows of a and b contatenated. More...
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template<typename T > |
DistributedMatrix< T > | madness::concatenate_rows (const DistributedMatrix< T > &a, const DistributedMatrix< T > &b) |
| Generates a column-distributed matrix with rows of a and b contatenated. More...
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template<typename T > |
DistributedMatrix< T > | madness::concatenate_rows (const DistributedMatrix< T > &a, const DistributedMatrix< T > &b, const DistributedMatrix< T > &c, const DistributedMatrix< T > &d) |
| Generates a column-distributed matrix with rows of a , b , c , and d contatenated in order. More...
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template<typename T > |
DistributedMatrix< T > | madness::copy (const DistributedMatrix< T > &A) |
| Deep copy of content. More...
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template<typename T > |
DistributedMatrix< T > | madness::interleave_rows (const DistributedMatrix< T > &a, const DistributedMatrix< T > &b) |
| Generates a distributed matrix with rows of a and b interleaved. More...
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template<typename T > |
DistributedMatrix< T > | madness::row_distributed_matrix (World &world, int64_t n, int64_t m, int64_t rowtile=0) |
| Generates an (n,m) matrix distributed by rows (column dimension is not distributed) More...
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static DistributedMatrixDistribution | madness::row_distributed_matrix_distribution (World &world, int64_t n, int64_t m, int64_t rowtile) |
| Generates an (n,m) matrix distribution distributed by rows (column dimension is not distributed) More...
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