type_nlpi.h

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/*                  This file is part of the program and library             */
/*         SCIP --- Solving Constraint Integer Programs                      */
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/**@file   type_nlpi.h
 * @ingroup TYPEDEFINITIONS
 * @brief  type definitions for NLP solver interfaces
 * @author Stefan Vigerske
 * @author Thorsten Gellermann
 */
 
/** @defgroup DEFPLUGINS_NLPI Default NLP solver interfaces
 *  @ingroup DEFPLUGINS
 *  @brief implementation files (.c/.cpp files) of the default NLP solver interfaces of SCIP
 */
 
/*---+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+----9----+----0----+----1----+----2*/
 
#ifndef __SCIP_TYPE_NLPI_H__
#define __SCIP_TYPE_NLPI_H__
 
#include "scip/def.h"
#include "scip/type_scip.h"
#include "scip/type_expr.h"
#include "scip/type_nlp.h"
 
#ifdef __cplusplus
extern "C" {
#endif
 
typedef struct SCIP_Nlpi          SCIP_NLPI;          /**< NLP solver interface */
typedef struct SCIP_NlpiData      SCIP_NLPIDATA;      /**< locally defined NLP solver interface data */
typedef struct SCIP_NlpiProblem   SCIP_NLPIPROBLEM;   /**< locally defined NLP solver interface data for a specific problem instance */
 
/** NLP solver fast-fail levels */
enum SCIP_NlpParam_FastFail
{
   SCIP_NLPPARAM_FASTFAIL_OFF          = 0,  /**< never stop if progress is still possible */
   SCIP_NLPPARAM_FASTFAIL_CONSERVATIVE = 1,  /**< stop if it seems unlikely that an improving point can be found */
   SCIP_NLPPARAM_FASTFAIL_AGGRESSIVE   = 2   /**< stop if convergence rate is low */
};
/** NLP solver fast-fail levels */
typedef enum SCIP_NlpParam_FastFail SCIP_NLPPARAM_FASTFAIL;
 
/** parameters for NLP solve */
struct SCIP_NlpParam
{
   SCIP_Real             lobjlimit;          /**< lower objective limit (cutoff) */
   SCIP_Real             feastol;            /**< feasibility tolerance (maximal allowed absolute violation of constraints and variable bounds) */
   SCIP_Real             opttol;             /**< optimality tolerance (maximal allowed absolute violation of optimality conditions) */
   SCIP_Real             solvertol;          /**< solver-specific tolerance on accuracy, e.g., maximal violation of feasibility and optimality in scaled problem (0.0: use solver default) */
   SCIP_Real             timelimit;          /**< time limit in seconds: use SCIP_REAL_MAX to use remaining time available for SCIP solve (limits/time - currenttime) */
   int                   iterlimit;          /**< iteration limit */
   unsigned short        verblevel;          /**< verbosity level of output of NLP solver to the screen: 0 off, 1 normal, 2 debug, > 2 more debug */
   SCIP_NLPPARAM_FASTFAIL fastfail;          /**< whether the NLP solver should stop early if convergence is slow */
   SCIP_Bool             expectinfeas;       /**< whether to expect an infeasible problem */
   SCIP_Bool             warmstart;          /**< whether to try to use solution of previous solve as starting point (if available) */
   const char*           caller;             /**< name of file from which NLP is solved (it's fine to set this to NULL) */
};
/** parameters for NLP solve */
typedef struct SCIP_NlpParam SCIP_NLPPARAM;
 
/** default verbosity level in NLP parameters */
#if defined(SCIP_DEBUG) || defined(SCIP_MOREDEBUG) || defined(SCIP_EVENMOREDEBUG)
#define SCIP_NLPPARAM_DEFAULT_VERBLEVEL 1
#else
#define SCIP_NLPPARAM_DEFAULT_VERBLEVEL 0
#endif
 
#if !defined(_MSC_VER) || _MSC_VER >= 1800
/** default values for parameters
 *
 * Typical use for this define is the initialization of a SCIP_NLPPARAM struct, e.g.,
 *
 *     SCIP_NLPPARAM nlpparam = { SCIP_NLPPARAM_DEFAULT(scip); }   //lint !e446
 *
 * or
 *
 *     SCIP_NLPPARAM nlpparam;
 *     nlpparam = (SCIP_NLPPARAM){ SCIP_NLPPARAM_DEFAULT(scip); }  //lint !e446
 */
#define SCIP_NLPPARAM_DEFAULT_INITS(scip)              \
   .lobjlimit   = SCIP_REAL_MIN,                       \
   .feastol     = SCIPfeastol(scip),                   \
   .opttol      = SCIPdualfeastol(scip),               \
   .solvertol   = 0.0,                                 \
   .timelimit   = SCIP_REAL_MAX,                       \
   .iterlimit   = INT_MAX,                             \
   .verblevel   = SCIP_NLPPARAM_DEFAULT_VERBLEVEL,     \
   .fastfail    = SCIP_NLPPARAM_FASTFAIL_CONSERVATIVE, \
   .expectinfeas= FALSE,                               \
   .warmstart   = FALSE,                               \
   .caller      = __FILE__
 
/** default values for parameters
 *
 * Typical use for this define is the initialization of a SCIP_NLPPARAM struct, e.g.,
 *
 *     SCIP_NLPPARAM nlpparam = SCIP_NLPPARAM_DEFAULT(scip);   //lint !e446
 *
 * or
 *
 *     SCIP_NLPPARAM nlpparam;
 *     nlpparam = SCIP_NLPPARAM_DEFAULT(scip);  //lint !e446
 */
#define SCIP_NLPPARAM_DEFAULT(scip) (SCIP_NLPPARAM){ SCIP_NLPPARAM_DEFAULT_INITS(scip) }
 
#else
/** default NLP parameters with static initialization; required for SCIPsolveNlpi macro with ancient MSVC */
static const SCIP_NLPPARAM SCIP_NLPPARAM_DEFAULT_STATIC = {
   SCIP_REAL_MIN, SCIP_DEFAULT_FEASTOL, SCIP_DEFAULT_DUALFEASTOL, 0.0, SCIP_REAL_MAX, INT_MAX, SCIP_NLPPARAM_DEFAULT_VERBLEVEL, SCIP_NLPPARAM_FASTFAIL_CONSERVATIVE, FALSE, FALSE, __FILE__
};
#define SCIP_NLPPARAM_DEFAULT(scip) SCIP_NLPPARAM_DEFAULT_STATIC
#endif
 
/** macro to help printing values of SCIP_NLPPARAM struct
 *
 * Typical use for this define is something like
 *
 *     SCIPdebugMsg(scip, "calling NLP solver with parameters " SCIP_NLPPARAM_PRINT(param));
 */
#define SCIP_NLPPARAM_PRINT(param) \
  "lobjlimit = %g, "    \
  "feastol = %g, "      \
  "opttol = %g, "       \
  "solvertol = %g, "    \
  "timelimit = %g, "    \
  "iterlimit = %d, "    \
  "verblevel = %hd, "   \
  "fastfail = %d, "     \
  "expectinfeas = %d, " \
  "warmstart = %d, "    \
  "called by %s\n",     \
  (param).lobjlimit, (param).feastol, (param).opttol, (param).solvertol, (param).timelimit, (param).iterlimit, \
  (param).verblevel, (param).fastfail, (param).expectinfeas, (param).warmstart, (param).caller != NULL ? (param).caller : "unknown"
 
/** NLP solution status */
enum SCIP_NlpSolStat
{
   SCIP_NLPSOLSTAT_GLOBOPT        = 0,    /**< solved to global optimality */
   SCIP_NLPSOLSTAT_LOCOPT         = 1,    /**< solved to local optimality */
   SCIP_NLPSOLSTAT_FEASIBLE       = 2,    /**< feasible solution found */
   SCIP_NLPSOLSTAT_LOCINFEASIBLE  = 3,    /**< solution found is local infeasible */
   SCIP_NLPSOLSTAT_GLOBINFEASIBLE = 4,    /**< problem is proven infeasible */
   SCIP_NLPSOLSTAT_UNBOUNDED      = 5,    /**< problem is unbounded */
   SCIP_NLPSOLSTAT_UNKNOWN        = 6     /**< unknown solution status (e.g., problem not solved yet) */
};
typedef enum SCIP_NlpSolStat SCIP_NLPSOLSTAT;      /**< NLP solution status */
 
/** NLP solver termination status */
enum SCIP_NlpTermStat
{
   SCIP_NLPTERMSTAT_OKAY          = 0,    /**< terminated successfully */
   SCIP_NLPTERMSTAT_TIMELIMIT     = 1,    /**< time limit exceeded */
   SCIP_NLPTERMSTAT_ITERLIMIT     = 2,    /**< iteration limit exceeded */
   SCIP_NLPTERMSTAT_LOBJLIMIT     = 3,    /**< lower objective limit reached */
   SCIP_NLPTERMSTAT_INTERRUPT     = 4,    /**< SCIP has been asked to stop (SCIPinterruptSolve() called) */
   SCIP_NLPTERMSTAT_NUMERICERROR  = 5,    /**< stopped on numerical error */
   SCIP_NLPTERMSTAT_EVALERROR     = 6,    /**< stopped on function evaluation error */
   SCIP_NLPTERMSTAT_OUTOFMEMORY   = 7,    /**< memory exceeded */
   SCIP_NLPTERMSTAT_LICENSEERROR  = 8,    /**< problems with license of NLP solver */
   SCIP_NLPTERMSTAT_OTHER         = 9     /**< other error (= this should never happen) */
};
typedef enum SCIP_NlpTermStat SCIP_NLPTERMSTAT;  /**< NLP solver termination status */
 
/** Statistics from an NLP solve */
struct SCIP_NlpStatistics
{
   int                   niterations;        /**< number of iterations the NLP solver spend in the last solve command */
   SCIP_Real             totaltime;          /**< total time in CPU sections the NLP solver spend in the last solve command */
   SCIP_Real             evaltime;           /**< time spend in evaluation of functions and their derivatives (only measured if timing/nlpieval = TRUE) */
 
   SCIP_Real             consviol;           /**< maximal absolute constraint violation in current solution, or SCIP_INVALID if not available */
   SCIP_Real             boundviol;          /**< maximal absolute variable bound violation in current solution, or SCIP_INVALID if not available */
};
typedef struct SCIP_NlpStatistics SCIP_NLPSTATISTICS; /**< NLP solve statistics */
 
/** copy method of NLP interface (called when SCIP copies plugins)
 *
 * Implementation of this callback is optional.
 *
 * \param[in] scip       target SCIP where to include copy of NLPI
 * \param[in] sourcenlpi the NLP interface to copy
 */
#define SCIP_DECL_NLPICOPY(x) SCIP_RETCODE x (\
   SCIP*      scip, \
   SCIP_NLPI* sourcenlpi)
 
/** frees the data of the NLP interface
 *
 *  \param[in] scip     SCIP data structure
 *  \param[in] nlpi     datastructure for solver interface
 *  \param[in] nlpidata NLPI data to free
 */
#define SCIP_DECL_NLPIFREE(x) SCIP_RETCODE x (\
   SCIP*           scip, \
   SCIP_NLPI*      nlpi, \
   SCIP_NLPIDATA** nlpidata)
 
/** gets pointer to solver-internal NLP solver
 *
 * Implementation of this callback is optional.
 *
 * Depending on the solver interface, a solver pointer may exist for every NLP problem instance.
 * For this case, a nlpiproblem can be passed in as well.
 *
 * \param[in] scip    SCIP data structure
 * \param[in] nlpi    datastructure for solver interface
 * \param[in] problem datastructure for problem instance, or NULL
 *
 * \return void pointer to solver
 */
#define SCIP_DECL_NLPIGETSOLVERPOINTER(x) void* x (\
   SCIP*      scip, \
   SCIP_NLPI* nlpi, \
   SCIP_NLPIPROBLEM* problem)
 
/** creates a problem instance
 *
 * \param[in] scip     SCIP data structure
 * \param[in] nlpi     datastructure for solver interface
 * \param[out] problem pointer to store the problem data
 * \param[in] name     name of problem, can be NULL
 */
#define SCIP_DECL_NLPICREATEPROBLEM(x) SCIP_RETCODE x (\
   SCIP*              scip, \
   SCIP_NLPI*         nlpi, \
   SCIP_NLPIPROBLEM** problem, \
   const char*        name)
 
/** free a problem instance
 *
 * \param[in] scip    SCIP data structure
 * \param[in] nlpi    datastructure for solver interface
 * \param[in] problem pointer where problem data is stored
 */
#define SCIP_DECL_NLPIFREEPROBLEM(x) SCIP_RETCODE x (\
   SCIP*              scip, \
   SCIP_NLPI*         nlpi, \
   SCIP_NLPIPROBLEM** problem)
 
/** gets pointer to solver-internal problem instance
 *
 * Implementation of this callback is optional.
 *
 * \param[in] scip    SCIP data structure
 * \param[in] nlpi    datastructure for solver interface
 * \param[in] problem datastructure for problem instance
 *
 * \return void pointer to problem instance
 */
#define SCIP_DECL_NLPIGETPROBLEMPOINTER(x) void* x (\
   SCIP*             scip, \
   SCIP_NLPI*        nlpi, \
   SCIP_NLPIPROBLEM* problem)
 
/** adds variables
 *
 * \param[in] scip     SCIP data structure
 * \param[in] nlpi     datastructure for solver interface
 * \param[in] problem  datastructure for problem instance
 * \param[in] nvars    number of variables
 * \param[in] lbs      lower bounds of variables, can be NULL if -infinity
 * \param[in] ubs      upper bounds of variables, can be NULL if +infinity
 * \param[in] varnames names of variables, can be NULL
 */
#define SCIP_DECL_NLPIADDVARS(x) SCIP_RETCODE x (\
   SCIP*             scip,    \
   SCIP_NLPI*        nlpi,    \
   SCIP_NLPIPROBLEM* problem, \
   int               nvars,   \
   const SCIP_Real*  lbs,     \
   const SCIP_Real*  ubs,     \
   const char**      varnames)
 
/** add constraints
 *
 * \param[in] scip     SCIP data structure
 * \param[in] nlpi     datastructure for solver interface
 * \param[in] problem  datastructure for problem instance
 * \param[in] ncons    number of added constraints
 * \param[in] lhss     left hand sides of constraints, can be NULL if -infinity
 * \param[in] rhss     right hand sides of constraints, can be NULL if +infinity
 * \param[in] nlininds number of linear coefficients for each constraint; may be NULL in case of no linear part
 * \param[in] lininds  indices of variables for linear coefficients for each constraint; may be NULL in case of no linear part
 * \param[in] linvals  values of linear coefficient for each constraint; may be NULL in case of no linear part
 * \param[in] exprs    expressions for nonlinear part of constraints; may be NULL or entries may be NULL when no nonlinear parts
 * \param[in] names    names of constraints; may be NULL or entries may be NULL
 */
#define SCIP_DECL_NLPIADDCONSTRAINTS(x) SCIP_RETCODE x (\
   SCIP*             scip,     \
   SCIP_NLPI*        nlpi,     \
   SCIP_NLPIPROBLEM* problem,  \
   int               nconss,   \
   const SCIP_Real*  lhss,     \
   const SCIP_Real*  rhss,     \
   const int*        nlininds, \
   int* const*       lininds,  \
   SCIP_Real* const* linvals,  \
   SCIP_EXPR**       exprs,    \
   const char**      names)
 
/** sets or overwrites objective, a minimization problem is expected
 *
 * \param[in] scip     SCIP data structure
 * \param[in] nlpi     datastructure for solver interface
 * \param[in] problem  datastructure for problem instance
 * \param[in] nlins    number of linear variables
 * \param[in] lininds  variable indices; may be NULL in case of no linear part
 * \param[in] linvals  coefficient values; may be NULL in case of no linear part
 * \param[in] expr     expression for nonlinear part of objective function; may be NULL in case of no nonlinear part
 * \param[in] constant objective value offset
 */
#define SCIP_DECL_NLPISETOBJECTIVE(x) SCIP_RETCODE x (\
   SCIP*             scip,    \
   SCIP_NLPI*        nlpi,    \
   SCIP_NLPIPROBLEM* problem, \
   int               nlins,   \
   const int*        lininds, \
   const SCIP_Real*  linvals, \
   SCIP_EXPR*        expr,    \
   const SCIP_Real   constant)
 
/** change variable bounds
 *
 * \param[in] scip    SCIP data structure
 * \param[in] nlpi    datastructure for solver interface
 * \param[in] problem datastructure for problem instance
 * \param[in] nvars   number of variables to change bounds
 * \param[in] indices indices of variables to change bounds
 * \param[in] lbs     new lower bounds
 * \param[in] ubs     new upper bounds
 */
#define SCIP_DECL_NLPICHGVARBOUNDS(x) SCIP_RETCODE x (\
   SCIP*             scip,    \
   SCIP_NLPI*        nlpi,    \
   SCIP_NLPIPROBLEM* problem, \
   const int         nvars,   \
   const int*        indices, \
   const SCIP_Real*  lbs,     \
   const SCIP_Real*  ubs)
 
/** change constraint sides
 *
 * \param[in] scip    SCIP data structure
 * \param[in] nlpi    datastructure for solver interface
 * \param[in] problem datastructure for problem instance
 * \param[in] nconss  number of constraints to change sides
 * \param[in] indices indices of constraints to change sides
 * \param[in] lhss    new left hand sides (NULL means minus infinity)
 * \param[in] rhss    new right hand sides (NULL means infinity)
 */
#define SCIP_DECL_NLPICHGCONSSIDES(x) SCIP_RETCODE x (\
   SCIP*             scip,    \
   SCIP_NLPI*        nlpi,    \
   SCIP_NLPIPROBLEM* problem, \
   int               nconss,  \
   const int*        indices, \
   const SCIP_Real*  lhss,    \
   const SCIP_Real*  rhss)
 
/** delete a set of variables
 *
 * \param[in] scip       SCIP data structure
 * \param[in] nlpi       datastructure for solver interface
 * \param[in] problem    datastructure for problem instance
 * \param[in,out] dstats deletion status of vars on input (1 if var should be deleted, 0 if not); new position of var on output, -1 if var was deleted
 * \param[in] dstatssize size of the dstats array
 */
#define SCIP_DECL_NLPIDELVARSET(x) SCIP_RETCODE x (\
   SCIP*             scip,    \
   SCIP_NLPI*        nlpi,    \
   SCIP_NLPIPROBLEM* problem, \
   int*              dstats,  \
   int               dstatssize)
 
/** delete a set of constraints
 *
 * \param[in] scip       SCIP data structure
 * \param[in] nlpi       datastructure for solver interface
 * \param[in] problem    datastructure for problem instance
 * \param[in,out] dstats deletion status of constraints on input (1 if constraint should be deleted, 0 if not); new position of constraint on output, -1 if constraint was deleted
 * \param[in] dstatssize size of the dstats array
 */
#define SCIP_DECL_NLPIDELCONSSET(x) SCIP_RETCODE x (\
   SCIP*             scip,    \
   SCIP_NLPI*        nlpi,    \
   SCIP_NLPIPROBLEM* problem, \
   int*              dstats,  \
   int               dstatssize)
 
/** changes (or adds) linear coefficients in a constraint or objective
 *
 * \param[in] scip    SCIP data structure
 * \param[in] nlpi    datastructure for solver interface
 * \param[in] problem datastructure for problem instance
 * \param[in] idx     index of constraint or -1 for objective
 * \param[in] nvals   number of values in linear constraint to change
 * \param[in] varidxs indices of variables which coefficient to change
 * \param[in] vals    new values for coefficients
 */
#define SCIP_DECL_NLPICHGLINEARCOEFS(x) SCIP_RETCODE x (\
   SCIP*             scip,    \
   SCIP_NLPI*        nlpi,    \
   SCIP_NLPIPROBLEM* problem, \
   int               idx,     \
   int               nvals,   \
   const int*        varidxs, \
   const SCIP_Real*  vals)
 
/** replaces the expression of a constraint or objective
 *
 * \param[in] scip    SCIP data structure
 * \param[in] nlpi    datastructure for solver interface
 * \param[in] problem datastructure for problem instance
 * \param[in] idxcons index of constraint or -1 for objective
 * \param[in] expr    new expression for constraint or objective, or NULL to only remove previous tree
 */
#define SCIP_DECL_NLPICHGEXPR(x) SCIP_RETCODE x (\
   SCIP*             scip,    \
   SCIP_NLPI*        nlpi,    \
   SCIP_NLPIPROBLEM* problem, \
   int               idxcons, \
   SCIP_EXPR*        expr)
 
/** changes the constant offset in the objective
 *
 * \param[in] scip        SCIP data structure
 * \param[in] nlpi        datastructure for solver interface
 * \param[in] problem     datastructure for problem instance
 * \param[in] objconstant new value for objective constant
 */
#define SCIP_DECL_NLPICHGOBJCONSTANT(x) SCIP_RETCODE x (\
   SCIP*             scip,    \
   SCIP_NLPI*        nlpi,    \
   SCIP_NLPIPROBLEM* problem, \
   SCIP_Real         objconstant)
 
/** sets initial guess
 *
 * Implementation of this callback is optional.
 *
 * \param[in] scip            SCIP data structure
 * \param[in] nlpi            datastructure for solver interface
 * \param[in] problem         datastructure for problem instance
 * \param[in] primalvalues    initial primal values for variables, or NULL to clear previous values
 * \param[in] consdualvalues  initial dual values for constraints, or NULL to clear previous values
 * \param[in] varlbdualvalues initial dual values for variable lower bounds, or NULL to clear previous values
 * \param[in] varubdualvalues initial dual values for variable upper bounds, or NULL to clear previous values
 */
#define SCIP_DECL_NLPISETINITIALGUESS(x) SCIP_RETCODE x (\
   SCIP*             scip,            \
   SCIP_NLPI*        nlpi,            \
   SCIP_NLPIPROBLEM* problem,         \
   SCIP_Real*        primalvalues,    \
   SCIP_Real*        consdualvalues,  \
   SCIP_Real*        varlbdualvalues, \
   SCIP_Real*        varubdualvalues)
 
/** tries to solve NLP
 *
 * \param[in] scip    SCIP data structure
 * \param[in] nlpi    datastructure for solver interface
 * \param[in] problem datastructure for problem instance
 * \param[in] param   parameters (e.g., working limits) to use
 */
#define SCIP_DECL_NLPISOLVE(x) SCIP_RETCODE x (\
   SCIP*             scip, \
   SCIP_NLPI*        nlpi, \
   SCIP_NLPIPROBLEM* problem, \
   SCIP_NLPPARAM     param)
 
/** gives solution status
 *
 * \param[in] scip    SCIP data structure
 * \param[in] nlpi    datastructure for solver interface
 * \param[in] problem datastructure for problem instance
 *
 * \return Solution Status
 */
#define SCIP_DECL_NLPIGETSOLSTAT(x) SCIP_NLPSOLSTAT x (\
   SCIP*             scip, \
   SCIP_NLPI*        nlpi, \
   SCIP_NLPIPROBLEM* problem)
 
/** gives termination reason
 *
 * \param[in] scip    SCIP data structure
 * \param[in] nlpi    datastructure for solver interface
 * \param[in] problem datastructure for problem instance
 *
 * \return Termination Status
 */
#define SCIP_DECL_NLPIGETTERMSTAT(x) SCIP_NLPTERMSTAT x (\
   SCIP*             scip, \
   SCIP_NLPI*        nlpi, \
   SCIP_NLPIPROBLEM* problem)
 
/** gives primal and dual solution values
 *
 * Solver can return NULL in dual values if not available,
 * but if solver provides dual values for one side of variable bounds, then it must also provide those for the other side.
 *
 * For a ranged constraint, the dual variable is positive if the right hand side is active and negative if the left hand side is active.
 *
 * \param[in] scip             SCIP data structure
 * \param[in] nlpi             datastructure for solver interface
 * \param[in] problem          datastructure for problem instance
 * \param[out] primalvalues    buffer to store pointer to array to primal values, or NULL if not needed
 * \param[out] consdualvalues  buffer to store pointer to array to dual values of constraints, or NULL if not needed
 * \param[out] varlbdualvalues buffer to store pointer to array to dual values of variable lower bounds, or NULL if not needed
 * \param[out] varubdualvalues buffer to store pointer to array to dual values of variable lower bounds, or NULL if not needed
 * \param[out] objval          pointer to store the objective value, or NULL if not needed
 */
#define SCIP_DECL_NLPIGETSOLUTION(x) SCIP_RETCODE x (\
   SCIP*             scip,            \
   SCIP_NLPI*        nlpi,            \
   SCIP_NLPIPROBLEM* problem,         \
   SCIP_Real**       primalvalues,    \
   SCIP_Real**       consdualvalues,  \
   SCIP_Real**       varlbdualvalues, \
   SCIP_Real**       varubdualvalues, \
   SCIP_Real*        objval)
 
/** gives solve statistics
 *
 * \param[in] scip        SCIP data structure
 * \param[in] nlpi        datastructure for solver interface
 * \param[in] problem     datastructure for problem instance
 * \param[out] statistics buffer where to store statistics
 */
#define SCIP_DECL_NLPIGETSTATISTICS(x) SCIP_RETCODE x (\
   SCIP*               scip,    \
   SCIP_NLPI*          nlpi,    \
   SCIP_NLPIPROBLEM*   problem, \
   SCIP_NLPSTATISTICS* statistics)
 
#ifdef __cplusplus
}
#endif
 
#endif /*__SCIP_TYPE_NLPI_H__ */