/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
/*                                                                           */
/*                  This file is part of the program and library             */
/*         SCIP --- Solving Constraint Integer Programs                      */
/*                                                                           */
/*  Copyright (c) 2002-2024 Zuse Institute Berlin (ZIB)                      */
/*                                                                           */
/*  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   pub_nlp.h
 * @ingroup PUBLICCOREAPI
 * @brief  public methods for NLP management
 * @author Thorsten Gellermann
 * @author Stefan Vigerske
 */

/*---+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+----9----+----0----+----1----+----2*/

#ifndef __SCIP_PUB_NLP_H__
#define __SCIP_PUB_NLP_H__

#include <stdio.h>

#include "scip/def.h"
#include "scip/type_message.h"
#include "blockmemshell/memory.h"
#include "scip/type_set.h"
#include "scip/type_stat.h"
#include "scip/type_nlp.h"
#include "scip/type_var.h"
#include "scip/type_sol.h"
#include "scip/type_expr.h"
#include "scip/type_nlpi.h"

#ifdef NDEBUG
#include "scip/struct_nlp.h"
#endif

#ifdef __cplusplus
extern "C" {
#endif

/**@addtogroup PublicNLRowMethods
 *
 * @{
 */

/** gets constant */
SCIP_EXPORT
SCIP_Real SCIPnlrowGetConstant(
   SCIP_NLROW*           nlrow               /**< NLP row */
   );

/** gets number of variables of linear part */
SCIP_EXPORT
int SCIPnlrowGetNLinearVars(
   SCIP_NLROW*           nlrow               /**< NLP row */
   );

/** gets array with variables of linear part */
SCIP_EXPORT
SCIP_VAR** SCIPnlrowGetLinearVars(
   SCIP_NLROW*           nlrow               /**< NLP row */
   );

/** gets array with coefficients in linear part */
SCIP_EXPORT
SCIP_Real* SCIPnlrowGetLinearCoefs(
   SCIP_NLROW*           nlrow               /**< NLP row */
   );

/** gets expression */
SCIP_EXPORT
SCIP_EXPR* SCIPnlrowGetExpr(
   SCIP_NLROW*           nlrow               /**< NLP row */
   );

/** returns the left hand side of a nonlinear row */
SCIP_EXPORT
SCIP_Real SCIPnlrowGetLhs(
   SCIP_NLROW*           nlrow               /**< NLP row */
   );

/** returns the right hand side of a nonlinear row */
SCIP_EXPORT
SCIP_Real SCIPnlrowGetRhs(
   SCIP_NLROW*           nlrow               /**< NLP row */
   );

/** returns the curvature of a nonlinear row */
SCIP_EXPORT
SCIP_EXPRCURV SCIPnlrowGetCurvature(
   SCIP_NLROW*           nlrow               /**< NLP row */
   );

/** returns the name of a nonlinear row */
SCIP_EXPORT
const char* SCIPnlrowGetName(
   SCIP_NLROW*           nlrow               /**< NLP row */
   );

/** gets position of a nonlinear row in current NLP, or -1 if not in NLP */
SCIP_EXPORT
int SCIPnlrowGetNLPPos(
   SCIP_NLROW*           nlrow               /**< NLP row */
   );

/** returns TRUE iff row is member of current NLP */
SCIP_EXPORT
SCIP_Bool SCIPnlrowIsInNLP(
   SCIP_NLROW*           nlrow               /**< NLP row */
   );

/** gets the dual NLP solution of a nlrow
 *
 * for a ranged constraint, the dual value is positive if the right hand side is active and negative if the left hand side is active
 */
SCIP_EXPORT
SCIP_Real SCIPnlrowGetDualsol(
   SCIP_NLROW*           nlrow               /**< NLP row */
   );

#ifdef NDEBUG
/* If NDEBUG is defined, the function calls are overwritten by defines to reduce the number of function calls and
 * speed up the algorithms.
 */
#define SCIPnlrowGetConstant(nlrow)    (nlrow)->constant
#define SCIPnlrowGetNLinearVars(nlrow) (nlrow)->nlinvars
#define SCIPnlrowGetLinearVars(nlrow)  (nlrow)->linvars
#define SCIPnlrowGetLinearCoefs(nlrow) (nlrow)->lincoefs
#define SCIPnlrowGetExpr(nlrow)        (nlrow)->expr
#define SCIPnlrowGetLhs(nlrow)         (nlrow)->lhs
#define SCIPnlrowGetRhs(nlrow)         (nlrow)->rhs
#define SCIPnlrowGetCurvature(nlrow)   (nlrow)->curvature
#define SCIPnlrowGetName(nlrow)        (nlrow)->name
#define SCIPnlrowGetNLPPos(nlrow)      (nlrow)->nlpindex
#define SCIPnlrowIsInNLP(nlrow)        ((nlrow)->nlpindex != -1)
#define SCIPnlrowGetDualsol(nlrow)     ((nlrow)->nlpiindex >= 0 ? (nlrow)->dualsol : 0.0)
#endif

/**@} */

#ifdef __cplusplus
}
#endif

#endif /* __SCIP_PUB_NLP_H__ */
