/usr/share/pyshared/openopt/solvers/scipy_optim/lapack_sgelss_oo.py is in python-openopt 0.34+svn1146-1build1.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | from scipy.linalg.flapack import sgelss
from numpy.linalg import norm
from numpy import dot, asfarray, atleast_1d
from openopt.kernel.baseSolver import baseSolver
class lapack_sgelss(baseSolver):
__name__ = 'lapack_sgelss'
__license__ = "BSD"
__authors__ = 'Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd., Courant Institute, Argonne National Lab, and Rice University'
#__alg__ = "SVD"
__info__ = 'wrapper to LAPACK sgelss routine (single precision), requires scipy & LAPACK 3.0 or newer installed'
def __init__(self):pass
def __solver__(self, p):
v,x,s,rank,info = sgelss(p.C, p.d)
xf = x[:p.C.shape[1]]
ff = atleast_1d(asfarray(p.F(xf)))
p.xf = p.xk = xf
p.ff = p.fk = ff
if info == 0: p.istop = 1000
else: p.istop = -1000
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