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:

sselect : call-back function

a : input rank-2 array(‘f’) with bounds (lda,*)

b : input rank-2 array(‘f’) with bounds (ldb,*)

Returns:

a : rank-2 array(‘f’) with bounds (lda,*)

b : rank-2 array(‘f’) with bounds (ldb,*)

sdim : int

alphar : rank-1 array(‘f’) with bounds (n)

alphai : rank-1 array(‘f’) with bounds (n)

beta : rank-1 array(‘f’) with bounds (n)

vsl : rank-2 array(‘f’) with bounds (ldvsl,n)

vsr : rank-2 array(‘f’) with bounds (ldvsr,n)

work : rank-1 array(‘f’) with bounds (MAX(lwork,1))

info : int

Other Parameters:  

jobvsl : input int, optional

Default: 1

jobvsr : input int, optional

Default: 1

sort_t : input int, optional

Default: 0

sselect_extra_args : input tuple, optional

Default: ()

overwrite_a : input int, optional

Default: 0

overwrite_b : input int, optional

Default: 0

ldvsl : input int, optional

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

ldvsr : input int, optional

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

lwork : input int, optional

Default: 8*n+16

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