C++ version of the example
With BCL C++, the implementation of the cut example is similar to what we have seen in the previous section since the same Xpress Optimizer functions are used.
#include <iostream> #include "xprb_cpp.h" #include "xprs.h" using namespace std; using namespace ::dashoptimization; ... XPRBvar start[NJ]; XPRBprob p("Jobs"); // Initialize BCL and a new problem int XPRS_CC usrcme(XPRSprob oprob, void* vd) { XPRBcut ca[2]; int num; int i=0; XPRBprob *bprob; bprob = (XPRBprob*)vd; // Get the BCL problem bprob->beginCB(oprob); // Coordinate BCL and Optimizer XPRSgetintattrib(oprob, XPRS_NODES, &num); if(num == 2) // Only generate cuts at node 2 { ca[0] = bprob->newCut(start[1]+2 <= start[0], 2); ca[1] = bprob->newCut(4*start[2] - 5.3*start[3] <= -17, 2); cout << "Adding constraints:" << endl; for(i=0;i<2;i++) ca[i].print(); if(bprob->addCuts(ca,2)) cout << "Problem with adding cuts." << endl; } bprob->endCB(); // Reset BCL to main problem return 0; // Call this function once per node } int main(int argc, char **argv) { XPRSprob oprob; for(j=0;j<4;j++) start[j] = p.newVar("start"); ... // Define constraints and an objective function oprob = p.getXPRSprob(); // Get Optimizer problem p.setCutMode(1); // Enable the cut mode XPRSsetcbcutmgr(oprob,usrcme,&p); // Def. the cut manager callback p.mipOptimize(); // Solve the problem as MIP ... // Solution output return 0; }
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