Description Usage Value See Also
View source: R/sparse_matrix_benchmark.R
GetSparseCholeskyDefaultMicrobenchmarks
defines the default sparse
Cholesky factorization microbenchmarks to be executed by the
RunSparseMatrixBenchmark
function. The current sparse
Cholesky factorization microbenchmarks cover a variety of matrices of
different dimensions and number of non-zero values. They are as follows:
cholesky_ct20stif – Boeing structural matrix with 2600295 nonzeros
cholesky_Andrews – computer vision matrix with 760154
cholesky_G3_circuit – AMD circuit simulation matrix with 7660826 nonzeros
See the documentation for the
SparseMatrixMicrobenchmark
class for more details.
1 |
a list of SparseMatrixMicrobenchmark
objects defining the
microbenchmarks to be executed. The microbenchmarks appear in the order
listed in the function description and are assigned the names enumerated
in the description.
Other sparse matrix default microbenchmarks: GetSparseCholeskyExampleMicrobenchmarks
,
GetSparseLuDefaultMicrobenchmarks
,
GetSparseMatrixVectorDefaultMicrobenchmarks
,
GetSparseMatrixVectorExampleMicrobenchmarks
,
GetSparseQrDefaultMicrobenchmarks
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