problem.setcbcascadevar
problem.setcbcascadevar(callback, data)
retval = callback(my_prob, my_object, colindex)
callback
|
The function to be called after each column has been cascaded.
callback returns an integer value. If the return value is nonzero, the cascading process will be omitted for the remaining variables during the current SLP iteration, but the optimization will continue.
|
my_prob
|
The problem passed to the callback function.
|
my_object
|
The user-defined object passed as
data to
problem.setcbcascadevar.
|
colindex
|
The number of the column which has been cascaded.
|
data
|
User-defined object, which can be used for any purpose by the function.
data is passed to
callback as
my_object.
|
obj = [] p.setcbcascadevar(CBCascVar, obj)
def CBCascVar(myprob, obj, iCol): (a,b,c,d,e,f,value,g,h,i,j,k,l,m,n) = myprob.getvar(iCol) if value * obj[iCol] < 0: p.chgvar(col=ColNum, value=obj[iCol]) return 0
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