/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */ /* */ /* 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 nlhdlr_soc.h * @ingroup NLHDLRS * @brief soc nonlinear handler * * @author Benjamin Mueller * @author Fabian Wegscheider */ /*---+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+----9----+----0----+----1----+----2*/ #ifndef __SCIP_NLHDLR_SOC_H__ #define __SCIP_NLHDLR_SOC_H__ #include "scip/scip.h" #ifdef __cplusplus extern "C" { #endif /** includes SOC nonlinear handler in nonlinear constraint handler * * @ingroup NlhdlrIncludes */ SCIP_EXPORT SCIP_RETCODE SCIPincludeNlhdlrSoc( SCIP* scip /**< SCIP data structure */ ); /**@addtogroup NLHDLRS * * @{ * * @name SOC nonlinear handler * * This nonlinear handler detects second-order cone constraints in the extended formulation and provides specialized separation functionality. * * @{ */ /** checks whether constraint is SOC representable in original variables and returns the SOC representation * * The SOC representation has the form: * \f$\sqrt{\sum_{i=1}^{n} (v_i^T x + \beta_i)^2} - v_{n+1}^T x - \beta_{n+1} \lessgtr 0\f$, * where \f$n+1 = \text{nterms}\f$ and the inequality type is given by sidetype (`SCIP_SIDETYPE_RIGHT` if inequality * is \f$\leq\f$, `SCIP_SIDETYPE_LEFT` if \f$\geq\f$). * * For each term (i.e. for each \f$i\f$ in the above notation as well as \f$n+1\f$), the constant \f$\beta_i\f$ is given by the * corresponding element `offsets[i-1]` and `termbegins[i-1]` is the starting position of the term in arrays * `transcoefs` and `transcoefsidx`. The overall number of nonzeros is `termbegins[nterms]`. * * Arrays `transcoefs` and `transcoefsidx` have size `termbegins[nterms]` and define the linear expressions \f$v_i^T x\f$ * for each term. For a term \f$i\f$ in the above notation, the nonzeroes are given by elements * `termbegins[i-1]...termbegins[i]` of `transcoefs` and `transcoefsidx`. There may be no nonzeroes for some term (i.e., * constant terms are possible). `transcoefs` contains the coefficients \f$v_i\f$ and `transcoefsidx` contains positions of * variables in the `vars` array. * * The `vars` array has size `nvars` and contains \f$x\f$ variables; each variable is included at most once. * * The arrays should be freed by calling SCIPfreeSOCArraysNonlinear(). * * This function uses the methods that are used in the detection algorithm of the SOC nonlinear handler. */ SCIP_EXPORT SCIP_RETCODE SCIPisSOCNonlinear( SCIP* scip, /**< SCIP data structure */ SCIP_CONS* cons, /**< nonlinear constraint */ SCIP_Bool compeigenvalues, /**< whether eigenvalues should be computed to detect complex cases */ SCIP_Bool* success, /**< pointer to store whether SOC structure has been detected */ SCIP_SIDETYPE* sidetype, /**< pointer to store which side of cons is SOC representable; only valid when success is TRUE */ SCIP_VAR*** vars, /**< variables (x) that appear on both sides; no duplicates are allowed */ SCIP_Real** offsets, /**< offsets of both sides (beta_i) */ SCIP_Real** transcoefs, /**< non-zeros of linear transformation vectors (v_i) */ int** transcoefsidx, /**< mapping of transformation coefficients to variable indices in vars */ int** termbegins, /**< starting indices of transcoefs for each term */ int* nvars, /**< total number of variables appearing (i.e. size of vars) */ int* nterms /**< number of summands in the SQRT +1 for RHS (n+1) */ ); /** frees arrays created by SCIPisSOCNonlinear() */ SCIP_EXPORT void SCIPfreeSOCArraysNonlinear( SCIP* scip, /**< SCIP data structure */ SCIP_VAR*** vars, /**< variables that appear on both sides (x) */ SCIP_Real** offsets, /**< offsets of both sides (beta_i) */ SCIP_Real** transcoefs, /**< non-zeros of linear transformation vectors (v_i) */ int** transcoefsidx, /**< mapping of transformation coefficients to variable indices in vars */ int** termbegins, /**< starting indices of transcoefs for each term */ int nvars, /**< total number of variables appearing */ int nterms /**< number of summands in the SQRT +1 for RHS (n+1) */ ); /** @} * @} */ #ifdef __cplusplus } #endif #endif /* __SCIP_NLHDLR_SOC_H__ */