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bilinear_c.c
/* Copyright 2020, Gurobi Optimization, LLC */ /* This example formulates and solves the following simple bilinear model: maximize x subject to x + y + z <= 10 x * y <= 2 (bilinear inequality) x * z + y * z == 1 (bilinear equality) x, y, z non-negative (x integral in second version) */ #include <stdlib.h> #include <stdio.h> #include "gurobi_c.h" int main(int argc, char *argv[]) { GRBenv *env = NULL; GRBmodel *model = NULL; int error = 0; double sol[3]; int ind[3]; double val[3]; double obj[] = {1, 0, 0}; int qrow[2]; int qcol[2]; double qval[2]; int optimstatus; double objval; /* Create environment */ error = GRBloadenv(&env, "bilinear.log"); if (error) goto QUIT; /* Create an empty model */ error = GRBnewmodel(env, &model, "bilinear", 0, NULL, NULL, NULL, NULL, NULL); if (error) goto QUIT; /* Add variables */ error = GRBaddvars(model, 3, 0, NULL, NULL, NULL, obj, NULL, NULL, NULL, NULL); if (error) goto QUIT; /* Change sense to maximization */ error = GRBsetintattr(model, GRB_INT_ATTR_MODELSENSE, GRB_MAXIMIZE); if (error) goto QUIT; /* Linear constraint: x + y + z <= 10 */ ind[0] = 0; ind[1] = 1; ind[2] = 2; val[0] = 1; val[1] = 1; val[2] = 1; error = GRBaddconstr(model, 3, ind, val, GRB_LESS_EQUAL, 10.0, "c0"); if (error) goto QUIT; /* Bilinear inequality: x * y <= 2 */ qrow[0] = 0; qcol[0] = 1; qval[0] = 1.0; error = GRBaddqconstr(model, 0, NULL, NULL, 1, qrow, qcol, qval, GRB_LESS_EQUAL, 2.0, "bilinear0"); if (error) goto QUIT; /* Bilinear equality: x * z + y * z == 1 */ qrow[0] = 0; qcol[0] = 2; qval[0] = 1.0; qrow[1] = 1; qcol[1] = 2; qval[1] = 1.0; error = GRBaddqconstr(model, 0, NULL, NULL, 2, qrow, qcol, qval, GRB_EQUAL, 1, "bilinear1"); if (error) goto QUIT; /* Optimize model - this will fail since we need to set NonConvex to 2 */ error = GRBoptimize(model); if (!error) { printf("Should have failed!\n"); goto QUIT; } /* Set parameter and solve again */ error = GRBsetintparam(GRBgetenv(model), GRB_INT_PAR_NONCONVEX, 2); if (error) goto QUIT; error = GRBoptimize(model); if (error) goto QUIT; /* Write model to 'bilinear.lp' */ error = GRBwrite(model, "bilinear.lp"); if (error) goto QUIT; /* Capture solution information */ error = GRBgetintattr(model, GRB_INT_ATTR_STATUS, &optimstatus); if (error) goto QUIT; error = GRBgetdblattr(model, GRB_DBL_ATTR_OBJVAL, &objval); if (error) goto QUIT; error = GRBgetdblattrarray(model, GRB_DBL_ATTR_X, 0, 3, sol); if (error) goto QUIT; printf("\nOptimization complete\n"); if (optimstatus == GRB_OPTIMAL) { printf("Optimal objective: %.4e\n", objval); printf(" x=%.2f, y=%.2f, z=%.2f\n", sol[0], sol[1], sol[2]); } else if (optimstatus == GRB_INF_OR_UNBD) { printf("Model is infeasible or unbounded\n"); } else { printf("Optimization was stopped early\n"); } /* Now constrain 'x' to be integral and solve again */ error = GRBsetcharattrelement(model, GRB_CHAR_ATTR_VTYPE, 0, GRB_INTEGER); if (error) goto QUIT; error = GRBoptimize(model); if (error) goto QUIT; /* Capture solution information */ error = GRBgetintattr(model, GRB_INT_ATTR_STATUS, &optimstatus); if (error) goto QUIT; error = GRBgetdblattr(model, GRB_DBL_ATTR_OBJVAL, &objval); if (error) goto QUIT; error = GRBgetdblattrarray(model, GRB_DBL_ATTR_X, 0, 3, sol); if (error) goto QUIT; printf("\nOptimization complete\n"); if (optimstatus == GRB_OPTIMAL) { printf("Optimal objective: %.4e\n", objval); printf(" x=%.2f, y=%.2f, z=%.2f\n", sol[0], sol[1], sol[2]); } else if (optimstatus == GRB_INF_OR_UNBD) { printf("Model is infeasible or unbounded\n"); } else { printf("Optimization was stopped early\n"); } QUIT: /* Error reporting */ if (error) { printf("ERROR: %s\n", GRBgeterrormsg(env)); exit(1); } /* Free model */ GRBfreemodel(model); /* Free environment */ GRBfreeenv(env); return 0; }