SciPy

scipy.linalg.lapack.cgges

scipy.linalg.lapack.cgges(cselect, a, b[, jobvsl, jobvsr, sort_t, ldvsl, ldvsr, lwork, cselect_extra_args, overwrite_a, overwrite_b]) = <fortran object>

Wrapper for cgges.

Parameters:
cselect : call-back function
a : input rank-2 array(‘F’) with bounds (lda,n)
b : input rank-2 array(‘F’) with bounds (ldb,n)
Returns:
a : rank-2 array(‘F’) with bounds (lda,n)
b : rank-2 array(‘F’) with bounds (ldb,n)
sdim : int
alpha : 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

cselect_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: max(2*n,1)

Notes

Call-back functions:

def cselect(alpha,beta): return cselect
Required arguments:
  alpha : input complex
  beta : input complex
Return objects:
  cselect : int

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