Scippy

    SCIP

    Solving Constraint Integer Programs

    presol_dualinfer.h File Reference

    Detailed Description

    dual inference presolver

    Author
    Dieter Weninger
    Patrick Gemander

    This presolver does bound strengthening on continuous variables (columns) for getting bounds on dual variables y. The bounds of the dual variables are then used to fix primal variables or change the side of constraints. For ranged rows one needs to decide which side (rhs or lhs) determines the equality.

    We distinguish two cases concerning complementary slackness: i) reduced cost fixing: c_j - sup_y(y^T A_{.j}) > 0 => x_j = l_j c_j - inf_y(y^T A_{.j}) < 0 => x_j = u_j ii) positive dual lower bound: y_i > 0 => A_{i.}x = b_i

    Further information on this presolving approach are given in Achterberg et al. "Presolve reductions in mixed integer programming" and for a two-column extension in Chen et al. "Two-row and two-column mixed-integer presolve using hasing-based pairing methods".

    Definition in file presol_dualinfer.h.

    #include "scip/def.h"
    #include "scip/type_retcode.h"
    #include "scip/type_scip.h"

    Go to the source code of this file.

    Functions

    SCIP_RETCODE SCIPincludePresolDualinfer (SCIP *scip)