| GetSparseQrDefaultMicrobenchmarks {RHPCBenchmark} | R Documentation |
Initializes the list of default sparse QR factorization microbenchmarks
Description
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.
Usage
GetSparseQrDefaultMicrobenchmarks()
Value
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.
See Also
Other sparse matrix default microbenchmarks: GetSparseCholeskyDefaultMicrobenchmarks,
GetSparseCholeskyExampleMicrobenchmarks,
GetSparseLuDefaultMicrobenchmarks,
GetSparseMatrixVectorDefaultMicrobenchmarks,
GetSparseMatrixVectorExampleMicrobenchmarks