To remove in the future –– scipy.linalg.blas
This module contains low-level functions from the BLAS library.
The common overwrite_<>
option in many routines, allows the input arrays to be overwritten to avoid extra memory allocation. However this requires the array to satisfy two conditions which are memory order and the data type to match exactly the order and the type expected by the routine.
As an example, if you pass a double precision float array to any S....
routine which expects single precision arguments, f2py will create an intermediate array to match the argument types and overwriting will be performed on that intermediate array.
Similarly, if a C-contiguous array is passed, f2py will pass a FORTRAN-contiguous array internally. Please make sure that these details are satisfied. More information can be found in the f2py documentation.
These functions do little to no error checking. It is possible to cause crashes by mis-using them, so prefer using the higher-level routines in :None:None:`scipy.linalg`
.
.. autosummary:: :toctree:generated/ get_blas_funcs find_best_blas_type
.. autosummary:: :toctree:generated/ caxpy ccopy cdotc cdotu crotg cscal csrot csscal cswap dasum daxpy dcopy ddot dnrm2 drot drotg drotm drotmg dscal dswap dzasum dznrm2 icamax idamax isamax izamax sasum saxpy scasum scnrm2 scopy sdot snrm2 srot srotg srotm srotmg sscal sswap zaxpy zcopy zdotc zdotu zdrot zdscal zrotg zscal zswap
.. autosummary:: :toctree:generated/ sgbmv sgemv sger ssbmv sspr sspr2 ssymv ssyr ssyr2 stbmv stpsv strmv strsv dgbmv dgemv dger dsbmv dspr dspr2 dsymv dsyr dsyr2 dtbmv dtpsv dtrmv dtrsv cgbmv cgemv cgerc cgeru chbmv chemv cher cher2 chpmv chpr chpr2 ctbmv ctbsv ctpmv ctpsv ctrmv ctrsv csyr zgbmv zgemv zgerc zgeru zhbmv zhemv zher zher2 zhpmv zhpr zhpr2 ztbmv ztbsv ztpmv ztrmv ztrsv zsyr
.. autosummary:: :toctree:generated/ sgemm ssymm ssyr2k ssyrk strmm strsm dgemm dsymm dsyr2k dsyrk dtrmm dtrsm cgemm chemm cher2k cherk csymm csyr2k csyrk ctrmm ctrsm zgemm zhemm zher2k zherk zsymm zsyr2k zsyrk ztrmm ztrsm
The following pages refer to to this document either explicitly or contain code examples using this.
scipy.linalg.blas.find_best_blas_type
Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.
Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)
SVG is more flexible but power hungry; and does not scale well to 50 + nodes.
All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them