scipy.linalg.lapack.sgges#

scipy.linalg.lapack.sgges(sselect, a, b[, jobvsl, jobvsr, sort_t, ldvsl, ldvsr, lwork, sselect_extra_args, overwrite_a, overwrite_b]) = <fortran object>#

Wrapper for sgges.

Parameters:
sselectcall-back function
ainput rank-2 array(‘f’) with bounds (lda,n)
binput rank-2 array(‘f’) with bounds (ldb,n)
Returns:
arank-2 array(‘f’) with bounds (lda,n)
brank-2 array(‘f’) with bounds (ldb,n)
sdimint
alpharrank-1 array(‘f’) with bounds (n)
alphairank-1 array(‘f’) with bounds (n)
betarank-1 array(‘f’) with bounds (n)
vslrank-2 array(‘f’) with bounds (ldvsl,n)
vsrrank-2 array(‘f’) with bounds (ldvsr,n)
workrank-1 array(‘f’) with bounds (MAX(lwork,1))
infoint
Other Parameters:
jobvslinput int, optional

Default: 1

jobvsrinput int, optional

Default: 1

sort_tinput int, optional

Default: 0

sselect_extra_argsinput tuple, optional

Default: ()

overwrite_ainput int, optional

Default: 0

overwrite_binput int, optional

Default: 0

ldvslinput int, optional

Default: ((jobvsl==1)?n:1)

ldvsrinput int, optional

Default: ((jobvsr==1)?n:1)

lworkinput int, optional

Default: max(8*n+16,1)

Notes

Call-back functions:

def sselect(alphar,alphai,beta): return sselect
Required arguments:
  alphar : input float
  alphai : input float
  beta : input float
Return objects:
  sselect : int