Description Usage Value See Also
View source: R/sparse_matrix_benchmark.R
GetSparseLuDefaultMicrobenchmarks
defines the default sparse LU
factorization microbenchmarks to be executed by the
RunSparseMatrixBenchmark
function. The current sparse LU
factorization microbenchmarks cover a variety of matrices of different
dimensions and number of non-zero values. They are as follows:
lu_circuit5M_dc – Freescale DC circuit simulation matrix 2600295 nonzeros
lu_stomach – 3D electro-physical model matrix with 3021648 nonzeros
lu_torso3 – 3D electro-physical model matrix with 4429042 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: GetSparseCholeskyDefaultMicrobenchmarks
,
GetSparseCholeskyExampleMicrobenchmarks
,
GetSparseMatrixVectorDefaultMicrobenchmarks
,
GetSparseMatrixVectorExampleMicrobenchmarks
,
GetSparseQrDefaultMicrobenchmarks
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