/**************************************************************** Copyright (C) 2013 AMPL Optimization LLC; written by David M. Gay. Permission to use, copy, modify, and distribute this software and its documentation for any purpose and without fee is hereby granted, provided that the above copyright notice appear in all copies and that both that the copyright notice and this permission notice and warranty disclaimer appear in supporting documentation. The author and AMPL Optimization LLC disclaim all warranties with regard to this software, including all implied warranties of merchantability and fitness. In no event shall the author be liable for any special, indirect or consequential damages or any damages whatsoever resulting from loss of use, data or profits, whether in an action of contract, negligence or other tortious action, arising out of or in connection with the use or performance of this software. ****************************************************************/ struct Objrep { /* For minimization (or maximization, with suitable inequality */ /* sense adjustments) of Objective = c0 + c1*v */ /* with v = _var[ivo] defined by constraint ico of the form */ /* (_con[ico].body = c2*v + f(x)) >= rhs with c2 > 0 or */ /* (_con[ico].body = c2*v + f(x)) <= rhs with c2 < 0, */ /* We change the Objective to */ /* Objective = c0 + c1*(rhs - f(x))/c2 = c0a + c12*f(x) */ /* with c12 = -c1 / c2 and c0a = c0 - c12*rhs. */ /* Objective gradient = c12 * grad(f(x)). */ /* We remove constraint _con[ico] and variable v; writesol */ /* calls obj_adj_xy_ASL to compute v = (Objectve - c0)/c1 */ /* and dual variable value -c12 for the removed constraint. */ int ico; /* index of constraint that gives the objective */ int ivo; /* index of objective variable */ int nxval; /* X generation for f */ void (*opify)(ASL*); /* whether obj_adj_xy may need to call qp_opify */ real c0, c0a, c1, c12, f; cgrad *cg; /* Original gradient if modified by mqpcheck(). */ cgrad *cg0; /* Copy of cg for use in obj_adj_xy_ASL. For solvers */ /* like minos and snopt that separately evaluate the */ /* linear and nonlinear parts of objectives, cg and cg0 */ /* may differ. */ };