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,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
 - 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: 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
