balanced branching strategies in non-convex univariate functions
|Reported by:||pbelotti||Owned by:||pbelotti|
|Keywords:||branching, balanced, odd power||Cc:|
The balanced branching strategy might use wrong values or raise math exceptions when branching on odd power operators. In minMaxDelta.cpp, computing curvDistance() does not take into account the fact that
1) there can be two result of the inverse of a derivative (FpInv?()), which is a square root in the case that the function is x3
2) the resulting approximation of subproblem area for one of the two branches is erroneous.
Until this ticket is closed, it is suggested that the branching strategy to be used is the default, and can be set with
in the couenne.opt option file.