def getMin(*args):
"""Solves an equality constrained optimization problem
Basic solve: getMin(X,Y,msg,fns,state)
Solve with a state manipulator: getMin(X,Y,msg,fns,state,smanip)
"""
# Check the number of arguments
if len(args)!=5 and len(args)!=6:
raise Exception("The getMin function requires either 5 or 6 arguments, "
"but %d given." % len(args))
# Extract the arguments
X=args[0]
Y=args[1]
msg=args[2]
fns = args[3]
state = args[4]
smanip = Optizelle.StateManipulator() if len(args)==5 else args[5]
# Check the arguments
Optizelle.checkVectorSpace("X",X)
Optizelle.checkVectorSpace("Y",Y)
Optizelle.checkMessaging("msg",msg)
Optizelle.EqualityConstrained.Functions.checkT("fns",fns)
Optizelle.EqualityConstrained.State.checkT("state",state)
Optizelle.checkStateManipulator("smanip",smanip)
# Call the optimization
Optizelle.Utility.EqualityConstrainedAlgorithmsGetMin(
X,Y,msg,fns,state,smanip)
def getMin(*args):
"""Solves an unconstrained optimization problem
Basic solve: getMin(X,msg,fns,state)
Solve with a state manipulator: getMin(X,msg,fns,state,smanip)
"""
# Check the number of arguments
if len(args) != 4 and len(args) != 5:
raise Exception(
"The getMin function requires either 4 or 5 arguments, "
"but %d given." % len(args))
# Extract the arguments
X = args[0]
msg = args[1]
fns = args[2]
state = args[3]
smanip = Optizelle.StateManipulator() if len(args) == 4 else args[4]
# Check the arguments
Optizelle.checkVectorSpace("X", X)
Optizelle.checkMessaging("msg", msg)
Optizelle.Unconstrained.Functions.checkT("fns", fns)
Optizelle.Unconstrained.State.checkT("state", state)
Optizelle.checkStateManipulator("smanip", smanip)
# Call the optimization
Optizelle.Utility.UnconstrainedAlgorithmsGetMin(X, msg, fns, state, smanip)
