problem.setcbiterstart
problem.setcbiterstart |
Purpose
Set a user callback to be called at the start of each SLP iteration
Synopsis
problem.setcbiterstart(callback, object)
retval = callback(my_prob, my_object)
Arguments
callback
|
The function to be called at the start of each SLP iteration.
callback returns an integer value. If the return value is nonzero, the SLP iterations will stop.
|
my_prob
|
The problem passed to the callback function.
|
my_object
|
The user-defined object passed as
object to
setcbiterstart.
|
object
|
Address of a user-defined object, which can be used for any purpose by the function.
object is passed to
callback as
my_object.
|
Example
The following example sets up a callback to be executed at the start of the optimization to save to save the values of the variables from the previous iteration:
p.setcbiterstart(CBIterStart, cSol)
A suitable callback function might resemble this:
def CBIterStart(MyProb, Obj): niter = MyProb.attributes.xslp_iter if nIter == 0: return 0 # no previous solution Obj = [] MyProb.getsol(Obj, None, None, None) return 0
The
object argument is used here to hold the address of the array
cSol which we populate with the solution values.
Further information
This callback can be used at the start of each SLP iteration before the optimization begins.
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