Description Usage Value See Also
View source: R/sparse_matrix_benchmark.R
GetSparseQrDefaultMicrobenchmarks
defines the default sparse QR
factorization microbenchmarks to be executed by the
RunSparseMatrixBenchmark
function. The current sparse QR
factorization microbenchmarks cover a variety of matrices of different
dimensions and number of non-zero values. They are as follows:
Maragal_6 – rank deficient least squares matrix of 537694 nonzeros
landmark – least squares matrix of 1146848
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
,
GetSparseLuDefaultMicrobenchmarks
,
GetSparseMatrixVectorDefaultMicrobenchmarks
,
GetSparseMatrixVectorExampleMicrobenchmarks
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