/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */ /* */ /* This file is part of the program and library */ /* SCIP --- Solving Constraint Integer Programs */ /* */ /* Copyright 2002-2022 Zuse Institute Berlin */ /* */ /* Licensed under the Apache License, Version 2.0 (the "License"); */ /* you may not use this file except in compliance with the License. */ /* You may obtain a copy of the License at */ /* */ /* http://www.apache.org/licenses/LICENSE-2.0 */ /* */ /* Unless required by applicable law or agreed to in writing, software */ /* distributed under the License is distributed on an "AS IS" BASIS, */ /* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. */ /* See the License for the specific language governing permissions and */ /* limitations under the License. */ /* */ /* You should have received a copy of the Apache-2.0 license */ /* along with SCIP; see the file LICENSE. If not visit scipopt.org. */ /* */ /* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */ /**@file sepa_eccuts.h * @ingroup SEPARATORS * @brief edge concave cut separator * @author Benjamin Mueller * * We call \f$ f \f$ an edge-concave function on a polyhedron \f$P\f$ iff it is concave in all edge directions of * \f$P\f$. For the special case \f$ P = [\ell,u]\f$ this is equivalent to \f$f\f$ being concave componentwise. * * Since the convex envelope of an edge-concave function is a polytope, the value of the convex envelope for a * \f$ x \in [\ell,u] \f$ can be obtained by solving the following LP: * * \f{align}{ * \min \, & \sum_i \lambda_i f(v_i) \\ * s.t. \, & \sum_i \lambda_i v_i = x \\ * & \sum_i \lambda_i = 1 * \f} * where \f$ \{ v_i \} \f$ are the vertices of the domain \f$ [\ell,u] \f$. Let \f$ (\alpha, \alpha_0) \f$ be the dual * solution of this LP. It can be shown that \f$ \alpha' x + \alpha_0 \f$ is a facet of the convex envelope of \f$ f \f$ * if \f$ x \f$ is in the interior of \f$ [\ell,u] \f$. * * We use this as follows: We transform the problem to the unit box \f$ [0,1]^n \f$ by using a linear affine * transformation \f$ T(x) = Ax + b \f$ and perturb \f$ T(x) \f$ if it is not an interior point. * This has the advantage that we do not have to update the matrix of the LP for different edge-concave functions. * * For a given quadratic constraint \f$ g(x) := x'Qx + b'x + c \le 0 \f$ we decompose \f$ g \f$ into several * edge-concave aggregations and a remaining part, e.g., * * \f[ * g(x) = \sum_{i = 1}^k f_i(x) + r(x) * \f] * * where each \f$ f_i \f$ is edge-concave. To separate a given solution \f$ x \f$, we compute a facet of the convex * envelope \f$ \tilde f \f$ for each edge-concave function \f$ f_i \f$ and an underestimator \f$ \tilde r \f$ * for \f$ r \f$. The resulting cut looks like: * * \f[ * \tilde f_i(x) + \tilde r(x) \le 0 * \f] * * We solve auxiliary MIP problems to identify good edge-concave aggregations. From the literature it is known that the * convex envelope of a bilinear edge-concave function \f$ f_i \f$ differs from McCormick iff in the graph * representation of \f$ f_i \f$ there exist a cycle with an odd number of positive weighted edges. We look for a * subgraph of the graph representation of the quadratic function \f$ g(x) \f$ with the previous property using a model * based on binary flow arc variables. * * This separator is currently disabled by default. It requires additional * tuning to be enabled by default. However, it may be useful to enable * it on instances with nonconvex quadratic constraints, in particular boxQPs. */ /*---+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+----9----+----0----+----1----+----2*/ #ifndef __SCIP_SEPA_ECCUTS_H__ #define __SCIP_SEPA_ECCUTS_H__ #include "scip/def.h" #include "scip/type_retcode.h" #include "scip/type_scip.h" #ifdef __cplusplus extern "C" { #endif /** creates the edge-concave separator and includes it in SCIP * * @ingroup SeparatorIncludes */ SCIP_EXPORT SCIP_RETCODE SCIPincludeSepaEccuts( SCIP* scip /**< SCIP data structure */ ); #ifdef __cplusplus } #endif #endif