examples/code_generation/mpc_mhe/getting_started_export/qpoases/SRC/QProblemB.cpp

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/*
 *      This file is part of qpOASES.
 *
 *      qpOASES -- An Implementation of the Online Active Set Strategy.
 *      Copyright (C) 2007-2008 by Hans Joachim Ferreau et al. All rights reserved.
 *
 *      qpOASES is free software; you can redistribute it and/or
 *      modify it under the terms of the GNU Lesser General Public
 *      License as published by the Free Software Foundation; either
 *      version 2.1 of the License, or (at your option) any later version.
 *
 *      qpOASES is distributed in the hope that it will be useful,
 *      but WITHOUT ANY WARRANTY; without even the implied warranty of
 *      MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
 *      Lesser General Public License for more details.
 *
 *      You should have received a copy of the GNU Lesser General Public
 *      License along with qpOASES; if not, write to the Free Software
 *      Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA
 *
 */


#include <QProblemB.hpp>

#include <stdio.h>

void printmatrix(char *name, double *A, int m, int n) {
  int i, j;

  printf("%s = [...\n", name);
  for (i = 0; i < m; i++) {
    for (j = 0; j < n; j++)
        printf("  % 9.4f", A[i*n+j]);
    printf(",\n");
  }
  printf("];\n");
}



/*****************************************************************************
 *  P U B L I C                                                              *
 *****************************************************************************/


/*
 *      Q P r o b l e m B
 */
QProblemB::QProblemB( )
{
        /* reset global message handler */
        getGlobalMessageHandler( )->reset( );

        bounds.init( 0 );

        tau = 0.0;

        hessianType = HST_POSDEF_NULLSPACE; /* Hessian is assumed to be positive definite by default */
        infeasible = BT_FALSE;
        unbounded = BT_FALSE;

        status = QPS_NOTINITIALISED;

        #ifdef PC_DEBUG
        printlevel = PL_MEDIUM;
        setPrintLevel( PL_MEDIUM );
        #else
        printlevel = QPOASES_PRINTLEVEL;
        #endif

        count = 0;
}


/*
 *      Q P r o b l e m B
 */
QProblemB::QProblemB( int _nV )
{
        /* consistency check */
        if ( _nV <= 0 )
        {
                _nV = 1;
                THROWERROR( RET_INVALID_ARGUMENTS );
        }

        /* reset global message handler */
        getGlobalMessageHandler( )->reset( );

        bounds.init( _nV );

        tau = 0.0;

        hessianType = HST_POSDEF_NULLSPACE; /* Hessian is assumed to be positive definite by default */
        infeasible = BT_FALSE;
        unbounded = BT_FALSE;

        status = QPS_NOTINITIALISED;

        #ifdef PC_DEBUG
        printlevel = PL_MEDIUM;
        setPrintLevel( PL_MEDIUM );
        #else
        printlevel = QPOASES_PRINTLEVEL;
        #endif

        count = 0;
}


/*
 *      Q P r o b l e m B
 */
QProblemB::QProblemB( const QProblemB& rhs )
{
        int i, j;

        int _nV = rhs.bounds.getNV( );

        for( i=0; i<_nV; ++i )
                for( j=0; j<_nV; ++j )
                        H[i*NVMAX + j] = rhs.H[i*NVMAX + j];

        for( i=0; i<_nV; ++i )
                g[i] = rhs.g[i];

        for( i=0; i<_nV; ++i )
                lb[i] = rhs.lb[i];

        for( i=0; i<_nV; ++i )
                ub[i] = rhs.ub[i];


        bounds = rhs.bounds;

        for( i=0; i<_nV; ++i )
                for( j=0; j<_nV; ++j )
                        R[i*NVMAX + j] = rhs.R[i*NVMAX + j];

        for( i=0; i<_nV; ++i )
                x[i] = rhs.x[i];

        for( i=0; i<_nV; ++i )
                y[i] = rhs.y[i];

        tau = rhs.tau;

        hessianType = rhs.hessianType;
        infeasible = rhs.infeasible;
        unbounded = rhs.unbounded;

        status = rhs.status;

        printlevel = rhs.printlevel;

        count = rhs.count;
}


/*
 *      ~ Q P r o b l e m B
 */
QProblemB::~QProblemB( )
{
}


/*
 *      o p e r a t o r =
 */
QProblemB& QProblemB::operator=( const QProblemB& rhs )
{
        int i, j;

        if ( this != &rhs )
        {
                int _nV = rhs.bounds.getNV( );

                for( i=0; i<_nV; ++i )
                        for( j=0; j<_nV; ++j )
                                H[i*NVMAX + j] = rhs.H[i*NVMAX + j];

                for( i=0; i<_nV; ++i )
                        g[i] = rhs.g[i];

                for( i=0; i<_nV; ++i )
                        lb[i] = rhs.lb[i];

                for( i=0; i<_nV; ++i )
                        ub[i] = rhs.ub[i];

                bounds = rhs.bounds;

                for( i=0; i<_nV; ++i )
                        for( j=0; j<_nV; ++j )
                                R[i*NVMAX + j] = rhs.R[i*NVMAX + j];


                for( i=0; i<_nV; ++i )
                        x[i] = rhs.x[i];

                for( i=0; i<_nV; ++i )
                        y[i] = rhs.y[i];

                tau = rhs.tau;

                hessianType = rhs.hessianType;
                infeasible = rhs.infeasible;
                unbounded = rhs.unbounded;

                status = rhs.status;

                printlevel = rhs.printlevel;
                setPrintLevel( rhs.printlevel );

                count = rhs.count;
        }

        return *this;
}


/*
 *      r e s e t
 */
returnValue QProblemB::reset( )
{
        int i, j;
        int nV = getNV( );


        /* 1) Reset bounds. */
        bounds.init( nV );

        /* 2) Reset Cholesky decomposition. */
        for( i=0; i<nV; ++i )
                for( j=0; j<nV; ++j )
                        R[i*NVMAX + j] = 0.0;

        /* 3) Reset steplength and status flags. */
        tau = 0.0;

        hessianType = HST_POSDEF_NULLSPACE; /* Hessian is assumed to be positive definite by default */
        infeasible = BT_FALSE;
        unbounded = BT_FALSE;

        status = QPS_NOTINITIALISED;

        return SUCCESSFUL_RETURN;
}


/*
 *      i n i t
 */
returnValue QProblemB::init(    const real_t* const _H, const real_t* const _g,
                                                                const real_t* const _lb, const real_t* const _ub,
                                                                int& nWSR, const real_t* const yOpt, real_t* const cputime
                                                                )
{
        /* 1) Setup QP data. */
        if ( setupQPdata( _H,_g,_lb,_ub ) != SUCCESSFUL_RETURN )
                return THROWERROR( RET_INVALID_ARGUMENTS );

        /* 2) Call to main initialisation routine (without any additional information). */
        return solveInitialQP( 0,yOpt,0, nWSR,cputime );
}


/*
 *      h o t s t a r t
 */
returnValue QProblemB::hotstart(        const real_t* const g_new, const real_t* const lb_new, const real_t* const ub_new,
                                                                        int& nWSR, real_t* const cputime
                                                                        )
{
        int l;

        /* consistency check */
        if ( ( getStatus( ) == QPS_NOTINITIALISED )       ||
                 ( getStatus( ) == QPS_PREPARINGAUXILIARYQP ) ||
                 ( getStatus( ) == QPS_PERFORMINGHOMOTOPY )   )
        {
                return THROWERROR( RET_HOTSTART_FAILED_AS_QP_NOT_INITIALISED );
        }

        /* start runtime measurement */
        real_t starttime = 0.0;
        if ( cputime != 0 )
                starttime = getCPUtime( );


        /* I) PREPARATIONS */
        /* 1) Reset status flags and increase QP counter. */
        infeasible = BT_FALSE;
        unbounded = BT_FALSE;

        ++count;

        /* 2) Allocate delta vectors of gradient and bounds. */
        returnValue returnvalue;
        BooleanType Delta_bB_isZero;

        int FR_idx[NVMAX];
        int FX_idx[NVMAX];

        real_t delta_g[NVMAX];
        real_t delta_lb[NVMAX];
        real_t delta_ub[NVMAX];

        real_t delta_xFR[NVMAX];
        real_t delta_xFX[NVMAX];
        real_t delta_yFX[NVMAX];

        int BC_idx;
        SubjectToStatus BC_status;

        #ifdef PC_DEBUG
        char messageString[80];
        #endif

        /* II) MAIN HOMOTOPY LOOP */
        for( l=0; l<nWSR; ++l )
        {
                status = QPS_PERFORMINGHOMOTOPY;

                if ( printlevel == PL_HIGH )
                {
                        #ifdef PC_DEBUG
                        sprintf( messageString,"%d ...",l );
                        getGlobalMessageHandler( )->throwInfo( RET_ITERATION_STARTED,messageString,__FUNCTION__,__FILE__,__LINE__,VS_VISIBLE );
                        #endif
                }

                /* 1) Setup index arrays. */
                if ( bounds.getFree( )->getNumberArray( FR_idx ) != SUCCESSFUL_RETURN )
                        return THROWERROR( RET_HOTSTART_FAILED );

                if ( bounds.getFixed( )->getNumberArray( FX_idx ) != SUCCESSFUL_RETURN )
                        return THROWERROR( RET_HOTSTART_FAILED );

                /* 2) Initialise shift direction of the gradient and the bounds. */
                returnvalue = hotstart_determineDataShift(  FX_idx,
                                                                                                        g_new,lb_new,ub_new,
                                                                                                        delta_g,delta_lb,delta_ub,
                                                                                                        Delta_bB_isZero
                                                                                                        );
                if ( returnvalue != SUCCESSFUL_RETURN )
                {
                        nWSR = l;
                        THROWERROR( RET_SHIFT_DETERMINATION_FAILED );
                        return returnvalue;
                }

                /* 3) Determination of step direction of X and Y. */
                returnvalue = hotstart_determineStepDirection(  FR_idx,FX_idx,
                                                                                                                delta_g,delta_lb,delta_ub,
                                                                                                                Delta_bB_isZero,
                                                                                                                delta_xFX,delta_xFR,delta_yFX
                                                                                                                );
                if ( returnvalue != SUCCESSFUL_RETURN )
                {
                        nWSR = l;
                        THROWERROR( RET_STEPDIRECTION_DETERMINATION_FAILED );
                        return returnvalue;
                }


                /* 4) Determination of step length TAU. */
                returnvalue = hotstart_determineStepLength(     FR_idx,FX_idx,
                                                                                                        delta_lb,delta_ub,
                                                                                                        delta_xFR,delta_yFX,
                                                                                                        BC_idx,BC_status );
                if ( returnvalue != SUCCESSFUL_RETURN )
                {
                        nWSR = l;
                        THROWERROR( RET_STEPLENGTH_DETERMINATION_FAILED );
                        return returnvalue;
                }

                /* 5) Realisation of the homotopy step. */
                returnvalue = hotstart_performStep(     FR_idx,FX_idx,
                                                                                        delta_g,delta_lb,delta_ub,
                                                                                        delta_xFX,delta_xFR,delta_yFX,
                                                                                        BC_idx,BC_status
                                                                                        );


                if ( returnvalue != SUCCESSFUL_RETURN )
                {
                        nWSR = l;

                        /* stop runtime measurement */
                        if ( cputime != 0 )
                                *cputime = getCPUtime( ) - starttime;

                        /* optimal solution found? */
                        if ( returnvalue == RET_OPTIMAL_SOLUTION_FOUND )
                        {
                                status = QPS_SOLVED;

                                if ( printlevel == PL_HIGH )
                                        THROWINFO( RET_OPTIMAL_SOLUTION_FOUND );

                                #ifdef PC_DEBUG
                                if ( printIteration( l,BC_idx,BC_status ) != SUCCESSFUL_RETURN )
                                        THROWERROR( RET_PRINT_ITERATION_FAILED ); /* do not pass this as return value! */
                                #endif

                                /* check KKT optimality conditions */
                                return checkKKTconditions( );
                        }
                        else
                        {
                                /* checks for infeasibility... */
                                if ( infeasible == BT_TRUE )
                                {
                                        status = QPS_HOMOTOPYQPSOLVED;
                                        return THROWERROR( RET_HOTSTART_STOPPED_INFEASIBILITY );
                                }

                                /* ...unboundedness... */
                                if ( unbounded == BT_TRUE ) /* not necessary since objective function convex! */
                                        return THROWERROR( RET_HOTSTART_STOPPED_UNBOUNDEDNESS );

                                /* ... and throw unspecific error otherwise */
                                THROWERROR( RET_HOMOTOPY_STEP_FAILED );
                                return returnvalue;
                        }
                }

                /* 6) Output information of successful QP iteration. */
                status = QPS_HOMOTOPYQPSOLVED;

                #ifdef PC_DEBUG
                if ( printIteration( l,BC_idx,BC_status ) != SUCCESSFUL_RETURN )
                        THROWERROR( RET_PRINT_ITERATION_FAILED ); /* do not pass this as return value! */
                #endif
        }


        /* stop runtime measurement */
        if ( cputime != 0 )
                *cputime = getCPUtime( ) - starttime;


        /* if programm gets to here, output information that QP could not be solved
         * within the given maximum numbers of working set changes */
        if ( printlevel == PL_HIGH )
        {
                #ifdef PC_DEBUG
                sprintf( messageString,"(nWSR = %d)",nWSR );
                return getGlobalMessageHandler( )->throwWarning( RET_MAX_NWSR_REACHED,messageString,__FUNCTION__,__FILE__,__LINE__,VS_VISIBLE );
                #endif
        }

        /* Finally check KKT optimality conditions. */
        returnValue returnvalueKKTcheck = checkKKTconditions( );

        if ( returnvalueKKTcheck != SUCCESSFUL_RETURN )
                return returnvalueKKTcheck;
        else
                return RET_MAX_NWSR_REACHED;
}


/*
 *      g e t N Z
 */
int QProblemB::getNZ( )
{
        /* if no constraints are present: nZ=nFR */
        return bounds.getFree( )->getLength( );
}


/*
 *      g e t O b j V a l
 */
real_t QProblemB::getObjVal( ) const
{
        real_t objVal;

        /* calculated optimal objective function value
         * only if current QP has been solved */
        if ( ( getStatus( ) == QPS_AUXILIARYQPSOLVED ) ||
                 ( getStatus( ) == QPS_HOMOTOPYQPSOLVED )  ||
                 ( getStatus( ) == QPS_SOLVED ) )
        {
                objVal = getObjVal( x );
        }
        else
        {
                objVal = INFTY;
        }

        return objVal;
}


/*
 *      g e t O b j V a l
 */
real_t QProblemB::getObjVal( const real_t* const _x ) const
{
        int i, j;
        int nV = getNV( );

        real_t obj_tmp = 0.0;

        for( i=0; i<nV; ++i )
        {
                obj_tmp += _x[i]*g[i];

                for( j=0; j<nV; ++j )
                        obj_tmp += 0.5*_x[i]*H[i*NVMAX + j]*_x[j];
        }

        return obj_tmp;
}


/*
 *      g e t P r i m a l S o l u t i o n
 */
returnValue QProblemB::getPrimalSolution( real_t* const xOpt ) const
{
        int i;

        /* return optimal primal solution vector
         * only if current QP has been solved */
        if ( ( getStatus( ) == QPS_AUXILIARYQPSOLVED ) ||
                 ( getStatus( ) == QPS_HOMOTOPYQPSOLVED )  ||
                 ( getStatus( ) == QPS_SOLVED ) )
        {
                for( i=0; i<getNV( ); ++i )
                        xOpt[i] = x[i];

                return SUCCESSFUL_RETURN;
        }
        else
        {
                return RET_QP_NOT_SOLVED;
        }
}


/*
 *      g e t D u a l S o l u t i o n
 */
returnValue QProblemB::getDualSolution( real_t* const yOpt ) const
{
        int i;

        /* return optimal dual solution vector
         * only if current QP has been solved */
        if ( ( getStatus( ) == QPS_AUXILIARYQPSOLVED ) ||
                 ( getStatus( ) == QPS_HOMOTOPYQPSOLVED )  ||
                 ( getStatus( ) == QPS_SOLVED ) )
        {
                for( i=0; i<getNV( ); ++i )
                        yOpt[i] = y[i];

                return SUCCESSFUL_RETURN;
        }
        else
        {
                return RET_QP_NOT_SOLVED;
        }
}


/*
 *      s e t P r i n t L e v e l
 */
returnValue QProblemB::setPrintLevel( PrintLevel _printlevel )
{
        #ifndef __MATLAB__
        if ( ( printlevel >= PL_MEDIUM ) && ( printlevel != _printlevel ) )
                THROWINFO( RET_PRINTLEVEL_CHANGED );
        #endif

        printlevel = _printlevel;

        /* update message handler preferences */
        switch ( printlevel )
        {
                case PL_NONE:
                        getGlobalMessageHandler( )->setErrorVisibilityStatus( VS_HIDDEN );
                        getGlobalMessageHandler( )->setWarningVisibilityStatus( VS_HIDDEN );
                        getGlobalMessageHandler( )->setInfoVisibilityStatus( VS_HIDDEN );
                        break;

                case PL_LOW:
                        getGlobalMessageHandler( )->setErrorVisibilityStatus( VS_VISIBLE );
                        getGlobalMessageHandler( )->setWarningVisibilityStatus( VS_HIDDEN );
                        getGlobalMessageHandler( )->setInfoVisibilityStatus( VS_HIDDEN );
                        break;

                default: /* PL_MEDIUM, PL_HIGH */
                        getGlobalMessageHandler( )->setErrorVisibilityStatus( VS_VISIBLE );
                        getGlobalMessageHandler( )->setWarningVisibilityStatus( VS_VISIBLE );
                        getGlobalMessageHandler( )->setInfoVisibilityStatus( VS_VISIBLE );
                        break;
        }

        return SUCCESSFUL_RETURN;
}



/*****************************************************************************
 *  P R O T E C T E D                                                        *
 *****************************************************************************/

/*
 *      c h e c k F o r I d e n t i t y H e s s i a n
 */
returnValue QProblemB::checkForIdentityHessian( )
{
        int i, j;
        int nV = getNV( );

        /* nothing to do as status flag remains unaltered
         * if Hessian differs from identity matrix */
        if ( hessianType == HST_IDENTITY )
                return SUCCESSFUL_RETURN;

        /* 1) If Hessian differs from identity matrix,
         *    return without changing the internal HessianType. */
        for ( i=0; i<nV; ++i )
                if ( getAbs( H[i*NVMAX + i] - 1.0 ) > EPS )
                        return SUCCESSFUL_RETURN;

        for ( i=0; i<nV; ++i )
        {
                for ( j=0; j<i; ++j )
                        if ( ( getAbs( H[i*NVMAX + j] ) > EPS ) || ( getAbs( H[j*NVMAX + i] ) > EPS ) )
                                return SUCCESSFUL_RETURN;
        }

        /* 2) If this point is reached, Hessian equals the idetity matrix. */
        hessianType = HST_IDENTITY;

        return SUCCESSFUL_RETURN;
}


/*
 *      s e t u p S u b j e c t T o T y p e
 */
returnValue QProblemB::setupSubjectToType( )
{
        int i;
        int nV = getNV( );


        /* 1) Check if lower bounds are present. */
        bounds.setNoLower( BT_TRUE );
        for( i=0; i<nV; ++i )
                if ( lb[i] > -INFTY )
                {
                        bounds.setNoLower( BT_FALSE );
                        break;
                }

        /* 2) Check if upper bounds are present. */
        bounds.setNoUpper( BT_TRUE );
        for( i=0; i<nV; ++i )
                if ( ub[i] < INFTY )
                {
                        bounds.setNoUpper( BT_FALSE );
                        break;
                }

        /* 3) Determine implicitly fixed and unbounded variables. */
        int nFV = 0;
        int nUV = 0;

        for( i=0; i<nV; ++i )
                if ( ( lb[i] < -INFTY + BOUNDTOL ) && ( ub[i] > INFTY - BOUNDTOL ) )
                {
                        bounds.setType( i,ST_UNBOUNDED );
                        ++nUV;
                }
                else
                {
                        if ( lb[i] > ub[i] - BOUNDTOL )
                        {
                                bounds.setType( i,ST_EQUALITY );
                                ++nFV;
                        }
                        else
                        {
                                bounds.setType( i,ST_BOUNDED );
                        }
                }

        /* 4) Set dimensions of bounds structure. */
        bounds.setNFV( nFV );
        bounds.setNUV( nUV );
        bounds.setNBV( nV - nFV - nUV );

        return SUCCESSFUL_RETURN;
}


/*
 *      c h o l e s k y D e c o m p o s i t i o n
 */
returnValue QProblemB::setupCholeskyDecomposition( )
{
        int i, j, k, ii, jj;
        int nV  = getNV( );
        int nFR = getNFR( );

        /* 1) Initialises R with all zeros. */
        for( i=0; i<nV; ++i )
                for( j=0; j<nV; ++j )
                        R[i*NVMAX + j] = 0.0;

        /* 2) Calculate Cholesky decomposition of H (projected to free variables). */
        if ( hessianType == HST_IDENTITY )
        {
                /* if Hessian is identity, so is its Cholesky factor. */
                for( i=0; i<nFR; ++i )
                        R[i*NVMAX + i] = 1.0;
        }
        else
        {
                if ( nFR > 0 )
                {
                        int FR_idx[NVMAX];
                        if ( bounds.getFree( )->getNumberArray( FR_idx ) != SUCCESSFUL_RETURN )
                                return THROWERROR( RET_INDEXLIST_CORRUPTED );

                        /* R'*R = H */
                        real_t sum;

                        for( i=0; i<nFR; ++i )
                        {
                                /* j == i */
                                ii = FR_idx[i];
                                sum = H[ii*NVMAX + ii];

                                for( k=(i-1); k>=0; --k )
                                        sum -= R[k*NVMAX + i] * R[k*NVMAX + i];

                                if ( sum > 0.0 )
                                        R[i*NVMAX + i] = sqrt( sum );
                                else
                                {
                                        hessianType = HST_SEMIDEF;
                                        return THROWERROR( RET_HESSIAN_NOT_SPD );
                                }

                                /* j > i */
                                for( j=(i+1); j<nFR; ++j )
                                {
                                        jj = FR_idx[j];
                                        sum = H[jj*NVMAX + ii];

                                        for( k=(i-1); k>=0; --k )
                                                sum -= R[k*NVMAX + i] * R[k*NVMAX + j];

                                        R[i*NVMAX + j] = sum / R[i*NVMAX + i];
                                }
                        }
                }
        }

        return SUCCESSFUL_RETURN;
}


/*
 *      s o l v e I n i t i a l Q P
 */
returnValue QProblemB::solveInitialQP(  const real_t* const xOpt, const real_t* const yOpt,
                                                                                const Bounds* const guessedBounds,
                                                                                int& nWSR, real_t* const cputime
                                                                                )
{
        int i;
        int nV = getNV( );


        /* start runtime measurement */
        real_t starttime = 0.0;
        if ( cputime != 0 )
                starttime = getCPUtime( );


        status = QPS_NOTINITIALISED;

        /* I) ANALYSE QP DATA: */
        /* 1) Check if Hessian happens to be the identity matrix. */
        if ( checkForIdentityHessian( ) != SUCCESSFUL_RETURN )
                return THROWERROR( RET_INIT_FAILED );

        /* 2) Setup type of bounds (i.e. unbounded, implicitly fixed etc.). */
        if ( setupSubjectToType( ) != SUCCESSFUL_RETURN )
                return THROWERROR( RET_INIT_FAILED );

        status = QPS_PREPARINGAUXILIARYQP;


        /* II) SETUP AUXILIARY QP WITH GIVEN OPTIMAL SOLUTION: */
        /* 1) Setup bounds data structure. */
        if ( bounds.setupAllFree( ) != SUCCESSFUL_RETURN )
                return THROWERROR( RET_INIT_FAILED );

        /* 2) Setup optimal primal/dual solution for auxiliary QP. */
        if ( setupAuxiliaryQPsolution( xOpt,yOpt ) != SUCCESSFUL_RETURN )
                return THROWERROR( RET_INIT_FAILED );

        /* 3) Obtain linear independent working set for auxiliary QP. */

        static Bounds auxiliaryBounds;

        auxiliaryBounds.init( nV );

        if ( obtainAuxiliaryWorkingSet( xOpt,yOpt,guessedBounds, &auxiliaryBounds ) != SUCCESSFUL_RETURN )
                return THROWERROR( RET_INIT_FAILED );

        /* 4) Setup working set of auxiliary QP and setup cholesky decomposition. */
        if ( setupAuxiliaryWorkingSet( &auxiliaryBounds,BT_TRUE ) != SUCCESSFUL_RETURN )
                return THROWERROR( RET_INIT_FAILED );

        if ( setupCholeskyDecomposition( ) != SUCCESSFUL_RETURN )
                return THROWERROR( RET_INIT_FAILED_CHOLESKY );

        /* 5) Store original QP formulation... */
        real_t g_original[NVMAX];
        real_t lb_original[NVMAX];
        real_t ub_original[NVMAX];

        for( i=0; i<nV; ++i )
        {
                g_original[i] = g[i];
                lb_original[i] = lb[i];
                ub_original[i] = ub[i];
        }

        /* ... and setup QP data of an auxiliary QP having an optimal solution
         * as specified by the user (or xOpt = yOpt = 0, by default). */
        if ( setupAuxiliaryQPgradient( ) != SUCCESSFUL_RETURN )
                return THROWERROR( RET_INIT_FAILED );

        if ( setupAuxiliaryQPbounds( BT_TRUE ) != SUCCESSFUL_RETURN )
                return THROWERROR( RET_INIT_FAILED );

        status = QPS_AUXILIARYQPSOLVED;


        /* III) SOLVE ACTUAL INITIAL QP: */
        /* Use hotstart method to find the solution of the original initial QP,... */
        returnValue returnvalue = hotstart( g_original,lb_original,ub_original, nWSR,0 );


        /* ... check for infeasibility and unboundedness... */
        if ( isInfeasible( ) == BT_TRUE )
                return THROWERROR( RET_INIT_FAILED_INFEASIBILITY );

        if ( isUnbounded( ) == BT_TRUE )
                return THROWERROR( RET_INIT_FAILED_UNBOUNDEDNESS );

        /* ... and internal errors. */
        if ( ( returnvalue != SUCCESSFUL_RETURN ) && ( returnvalue != RET_MAX_NWSR_REACHED )  &&
             ( returnvalue != RET_INACCURATE_SOLUTION ) && ( returnvalue != RET_NO_SOLUTION ) )
                return THROWERROR( RET_INIT_FAILED_HOTSTART );


        /* stop runtime measurement */
        if ( cputime != 0 )
                *cputime = getCPUtime( ) - starttime;

        if ( printlevel == PL_HIGH )
                THROWINFO( RET_INIT_SUCCESSFUL );

        return returnvalue;
}


/*
 *      o b t a i n A u x i l i a r y W o r k i n g S e t
 */
returnValue QProblemB::obtainAuxiliaryWorkingSet(       const real_t* const xOpt, const real_t* const yOpt,
                                                                                                        const Bounds* const guessedBounds, Bounds* auxiliaryBounds
                                                                                                        ) const
{
        int i = 0;
        int nV = getNV( );


        /* 1) Ensure that desiredBounds is allocated (and different from guessedBounds). */
        if ( ( auxiliaryBounds == 0 ) || ( auxiliaryBounds == guessedBounds ) )
                return THROWERROR( RET_INVALID_ARGUMENTS );


        /* 2) Setup working set for auxiliary initial QP. */
        if ( guessedBounds != 0 )
        {
                /* If an initial working set is specific, use it!
                 * Moreover, add all implictly fixed variables if specified. */
                for( i=0; i<nV; ++i )
                {
                        if ( bounds.getType( i ) == ST_EQUALITY )
                        {
                                if ( auxiliaryBounds->setupBound( i,ST_LOWER ) != SUCCESSFUL_RETURN )
                                        return THROWERROR( RET_OBTAINING_WORKINGSET_FAILED );
                        }
                        else
                        {
                                if ( auxiliaryBounds->setupBound( i,guessedBounds->getStatus( i ) ) != SUCCESSFUL_RETURN )
                                        return THROWERROR( RET_OBTAINING_WORKINGSET_FAILED );
                        }
                }
        }
        else    /* No initial working set specified. */
        {
                if ( ( xOpt != 0 ) && ( yOpt == 0 ) )
                {
                        /* Obtain initial working set by "clipping". */
                        for( i=0; i<nV; ++i )
                        {
                                if ( xOpt[i] <= lb[i] + BOUNDTOL )
                                {
                                        if ( auxiliaryBounds->setupBound( i,ST_LOWER ) != SUCCESSFUL_RETURN )
                                                return THROWERROR( RET_OBTAINING_WORKINGSET_FAILED );
                                        continue;
                                }

                                if ( xOpt[i] >= ub[i] - BOUNDTOL )
                                {
                                        if ( auxiliaryBounds->setupBound( i,ST_UPPER ) != SUCCESSFUL_RETURN )
                                                return THROWERROR( RET_OBTAINING_WORKINGSET_FAILED );
                                        continue;
                                }

                                /* Moreover, add all implictly fixed variables if specified. */
                                if ( bounds.getType( i ) == ST_EQUALITY )
                                {
                                        if ( auxiliaryBounds->setupBound( i,ST_LOWER ) != SUCCESSFUL_RETURN )
                                                return THROWERROR( RET_OBTAINING_WORKINGSET_FAILED );
                                }
                                else
                                {
                                        if ( auxiliaryBounds->setupBound( i,ST_INACTIVE ) != SUCCESSFUL_RETURN )
                                                return THROWERROR( RET_OBTAINING_WORKINGSET_FAILED );
                                }
                        }
                }

                if ( ( xOpt == 0 ) && ( yOpt != 0 ) )
                {
                        /* Obtain initial working set in accordance to sign of dual solution vector. */
                        for( i=0; i<nV; ++i )
                        {
                                if ( yOpt[i] > ZERO )
                                {
                                        if ( auxiliaryBounds->setupBound( i,ST_LOWER ) != SUCCESSFUL_RETURN )
                                                return THROWERROR( RET_OBTAINING_WORKINGSET_FAILED );
                                        continue;
                                }

                                if ( yOpt[i] < -ZERO )
                                {
                                        if ( auxiliaryBounds->setupBound( i,ST_UPPER ) != SUCCESSFUL_RETURN )
                                                return THROWERROR( RET_OBTAINING_WORKINGSET_FAILED );
                                        continue;
                                }

                                /* Moreover, add all implictly fixed variables if specified. */
                                if ( bounds.getType( i ) == ST_EQUALITY )
                                {
                                        if ( auxiliaryBounds->setupBound( i,ST_LOWER ) != SUCCESSFUL_RETURN )
                                                return THROWERROR( RET_OBTAINING_WORKINGSET_FAILED );
                                }
                                else
                                {
                                        if ( auxiliaryBounds->setupBound( i,ST_INACTIVE ) != SUCCESSFUL_RETURN )
                                                return THROWERROR( RET_OBTAINING_WORKINGSET_FAILED );
                                }
                        }
                }

                /* If xOpt and yOpt are null pointer and no initial working is specified,
                 * start with empty working set (or implicitly fixed bounds only)
                 * for auxiliary QP. */
                if ( ( xOpt == 0 ) && ( yOpt == 0 ) )
                {
                        for( i=0; i<nV; ++i )
                        {
                                /* Only add all implictly fixed variables if specified. */
                                if ( bounds.getType( i ) == ST_EQUALITY )
                                {
                                        if ( auxiliaryBounds->setupBound( i,ST_LOWER ) != SUCCESSFUL_RETURN )
                                                return THROWERROR( RET_OBTAINING_WORKINGSET_FAILED );
                                }
                                else
                                {
                                        if ( auxiliaryBounds->setupBound( i,ST_INACTIVE ) != SUCCESSFUL_RETURN )
                                                return THROWERROR( RET_OBTAINING_WORKINGSET_FAILED );
                                }
                        }
                }
        }

        return SUCCESSFUL_RETURN;
}


/*
 *      s e t u p A u x i l i a r y W o r k i n g S e t
 */
returnValue QProblemB::setupAuxiliaryWorkingSet(        const Bounds* const auxiliaryBounds,
                                                                                                        BooleanType setupAfresh
                                                                                                        )
{
        int i;
        int nV = getNV( );

        /* consistency checks */
        if ( auxiliaryBounds != 0 )
        {
                for( i=0; i<nV; ++i )
                        if ( ( bounds.getStatus( i ) == ST_UNDEFINED ) || ( auxiliaryBounds->getStatus( i ) == ST_UNDEFINED ) )
                                return THROWERROR( RET_UNKNOWN_BUG );
        }
        else
        {
                return THROWERROR( RET_INVALID_ARGUMENTS );
        }


        /* I) SETUP CHOLESKY FLAG:
         *    Cholesky decomposition shall only be updated if working set
         *    shall be updated (i.e. NOT setup afresh!) */
        BooleanType updateCholesky;
        if ( setupAfresh == BT_TRUE )
                updateCholesky = BT_FALSE;
        else
                updateCholesky = BT_TRUE;


        /* II) REMOVE FORMERLY ACTIVE BOUNDS (IF NECESSARY): */
        if ( setupAfresh == BT_FALSE )
        {
                /* Remove all active bounds that shall be inactive AND
                *  all active bounds that are active at the wrong bound. */
                for( i=0; i<nV; ++i )
                {
                        if ( ( bounds.getStatus( i ) == ST_LOWER ) && ( auxiliaryBounds->getStatus( i ) != ST_LOWER ) )
                                if ( removeBound( i,updateCholesky ) != SUCCESSFUL_RETURN )
                                        return THROWERROR( RET_SETUP_WORKINGSET_FAILED );

                        if ( ( bounds.getStatus( i ) == ST_UPPER ) && ( auxiliaryBounds->getStatus( i ) != ST_UPPER ) )
                                if ( removeBound( i,updateCholesky ) != SUCCESSFUL_RETURN )
                                        return THROWERROR( RET_SETUP_WORKINGSET_FAILED );
                }
        }


        /* III) ADD NEWLY ACTIVE BOUNDS: */
        /*      Add all inactive bounds that shall be active AND
         *      all formerly active bounds that have been active at the wrong bound. */
        for( i=0; i<nV; ++i )
        {
                if ( ( bounds.getStatus( i ) == ST_INACTIVE ) && ( auxiliaryBounds->getStatus( i ) != ST_INACTIVE ) )
                {
                        if ( addBound( i,auxiliaryBounds->getStatus( i ),updateCholesky ) != SUCCESSFUL_RETURN )
                                return THROWERROR( RET_SETUP_WORKINGSET_FAILED );
                }
        }

        return SUCCESSFUL_RETURN;
}


/*
 *      s e t u p A u x i l i a r y Q P s o l u t i o n
 */
returnValue QProblemB::setupAuxiliaryQPsolution(        const real_t* const xOpt, const real_t* const yOpt
                                                                                                        )
{
        int i;
        int nV = getNV( );


        /* Setup primal/dual solution vectors for auxiliary initial QP:
         * if a null pointer is passed, a zero vector is assigned;
         * old solution vector is kept if pointer to internal solution vector is passed. */
        if ( xOpt != 0 )
        {
                if ( xOpt != x )
                        for( i=0; i<nV; ++i )
                                x[i] = xOpt[i];
        }
        else
        {
                for( i=0; i<nV; ++i )
                        x[i] = 0.0;
        }

        if ( yOpt != 0 )
        {
                if ( yOpt != y )
                        for( i=0; i<nV; ++i )
                                y[i] = yOpt[i];
        }
        else
        {
                for( i=0; i<nV; ++i )
                        y[i] = 0.0;
        }

        return SUCCESSFUL_RETURN;
}


/*
 *      s e t u p A u x i l i a r y Q P g r a d i e n t
 */
returnValue QProblemB::setupAuxiliaryQPgradient( )
{
        int i, j;
        int nV = getNV( );


        /* Setup gradient vector: g = -H*x + y'*Id. */
        for ( i=0; i<nV; ++i )
        {
                /* y'*Id */
                g[i] = y[i];

                /* -H*x */
                for ( j=0; j<nV; ++j )
                        g[i] -= H[i*NVMAX + j] * x[j];
        }

        return SUCCESSFUL_RETURN;
}


/*
 *      s e t u p A u x i l i a r y Q P b o u n d s
 */
returnValue QProblemB::setupAuxiliaryQPbounds( BooleanType useRelaxation )
{
        int i;
        int nV = getNV( );


        /* Setup bound vectors. */
        for ( i=0; i<nV; ++i )
        {
                switch ( bounds.getStatus( i ) )
                {
                        case ST_INACTIVE:
                                if ( useRelaxation == BT_TRUE )
                                {
                                        if ( bounds.getType( i ) == ST_EQUALITY )
                                        {
                                                lb[i] = x[i];
                                                ub[i] = x[i];
                                        }
                                        else
                                        {
                                                lb[i] = x[i] - BOUNDRELAXATION;
                                                ub[i] = x[i] + BOUNDRELAXATION;
                                        }
                                }
                                break;

                        case ST_LOWER:
                                lb[i] = x[i];
                                if ( bounds.getType( i ) == ST_EQUALITY )
                                {
                                        ub[i] = x[i];
                                }
                                else
                                {
                                        if ( useRelaxation == BT_TRUE )
                                                ub[i] = x[i] + BOUNDRELAXATION;
                                }
                                break;

                        case ST_UPPER:
                                ub[i] = x[i];
                                if ( bounds.getType( i ) == ST_EQUALITY )
                                {
                                        lb[i] = x[i];
                                }
                                else
                                {
                                        if ( useRelaxation == BT_TRUE )
                                                lb[i] = x[i] - BOUNDRELAXATION;
                                }
                                break;

                        default:
                                return THROWERROR( RET_UNKNOWN_BUG );
                }
        }

        return SUCCESSFUL_RETURN;
}


/*
 *      a d d B o u n d
 */
returnValue QProblemB::addBound(        int number, SubjectToStatus B_status,
                                                                        BooleanType updateCholesky
                                                                        )
{
        int i, j;
        int nFR = getNFR( );


        /* consistency check */
        if ( ( getStatus( ) == QPS_NOTINITIALISED )    ||
                 ( getStatus( ) == QPS_AUXILIARYQPSOLVED ) ||
                 ( getStatus( ) == QPS_HOMOTOPYQPSOLVED )  ||
                 ( getStatus( ) == QPS_SOLVED )            )
        {
                return THROWERROR( RET_UNKNOWN_BUG );
        }

        /* Perform cholesky updates only if QProblemB has been initialised! */
        if ( ( getStatus( ) == QPS_PREPARINGAUXILIARYQP ) || ( updateCholesky == BT_FALSE ) )
        {
                /* UPDATE INDICES */
                if ( bounds.moveFreeToFixed( number,B_status ) != SUCCESSFUL_RETURN )
                        return THROWERROR( RET_ADDBOUND_FAILED );

                return SUCCESSFUL_RETURN;
        }


        /* I) PERFORM CHOLESKY UPDATE: */
        /* 1) Index of variable to be added within the list of free variables. */
        int number_idx = bounds.getFree( )->getIndex( number );

        real_t c, s;

        /* 2) Use row-wise Givens rotations to restore upper triangular form of R. */
        for( i=number_idx+1; i<nFR; ++i )
        {
                computeGivens( R[(i-1)*NVMAX + i],R[i*NVMAX + i], R[(i-1)*NVMAX + i],R[i*NVMAX + i],c,s );

                for( j=(1+i); j<nFR; ++j ) /* last column of R is thrown away */
                        applyGivens( c,s,R[(i-1)*NVMAX + j],R[i*NVMAX + j], R[(i-1)*NVMAX + j],R[i*NVMAX + j] );
        }

        /* 3) Delete <number_idx>th column and ... */
        for( i=0; i<nFR-1; ++i )
                for( j=number_idx+1; j<nFR; ++j )
                        R[i*NVMAX + j-1] = R[i*NVMAX + j];
        /* ... last column of R. */
        for( i=0; i<nFR; ++i )
                R[i*NVMAX + nFR-1] = 0.0;


        /* II) UPDATE INDICES */
        if ( bounds.moveFreeToFixed( number,B_status ) != SUCCESSFUL_RETURN )
                return THROWERROR( RET_ADDBOUND_FAILED );


        return SUCCESSFUL_RETURN;
}


returnValue QProblemB::removeBound(     int number,
                                                                        BooleanType updateCholesky
                                                                        )
{
        int i, ii;
        int nFR = getNFR( );


        /* consistency check */
        if ( ( getStatus( ) == QPS_NOTINITIALISED )    ||
                 ( getStatus( ) == QPS_AUXILIARYQPSOLVED ) ||
                 ( getStatus( ) == QPS_HOMOTOPYQPSOLVED )  ||
                 ( getStatus( ) == QPS_SOLVED )            )
        {
                return THROWERROR( RET_UNKNOWN_BUG );
        }


        /* I) UPDATE INDICES */
        if ( bounds.moveFixedToFree( number ) != SUCCESSFUL_RETURN )
                return THROWERROR( RET_REMOVEBOUND_FAILED );

        /* Perform cholesky updates only if QProblemB has been initialised! */
        if ( ( getStatus( ) == QPS_PREPARINGAUXILIARYQP ) || ( updateCholesky == BT_FALSE ) )
                return SUCCESSFUL_RETURN;


        /* II) PERFORM CHOLESKY UPDATE */
        int FR_idx[NVMAX];
        if ( bounds.getFree( )->getNumberArray( FR_idx ) != SUCCESSFUL_RETURN )
                return THROWERROR( RET_REMOVEBOUND_FAILED );

        /* 1) Calculate new column of cholesky decomposition. */
        real_t rhs[NVMAX];
        real_t r[NVMAX];
        real_t r0 = H[number*NVMAX + number];

        for( i=0; i<nFR; ++i )
        {
                ii = FR_idx[i];
                rhs[i] = H[number*NVMAX + ii];
        }

        if ( backsolveR( rhs,BT_TRUE,BT_TRUE,r ) != SUCCESSFUL_RETURN )
                return THROWERROR( RET_REMOVEBOUND_FAILED );

        for( i=0; i<nFR; ++i )
                r0 -= r[i]*r[i];

        /* 2) Store new column into R. */
        for( i=0; i<nFR; ++i )
                R[i*NVMAX + nFR] = r[i];

        if ( r0 > 0.0 )
                R[nFR*NVMAX + nFR] = sqrt( r0 );
        else
        {
                hessianType = HST_SEMIDEF;
                return THROWERROR( RET_HESSIAN_NOT_SPD );
        }


        return SUCCESSFUL_RETURN;
}


/*
 *      b a c k s o l v e R  (CODE DUPLICATED IN QProblem CLASS!!!)
 */
returnValue QProblemB::backsolveR(      const real_t* const b, BooleanType transposed,
                                                                        real_t* const a
                                                                        )
{
        /* Call standard backsolve procedure (i.e. removingBound == BT_FALSE). */
        return backsolveR( b,transposed,BT_FALSE,a );
}


/*
 *      b a c k s o l v e R  (CODE DUPLICATED IN QProblem CLASS!!!)
 */
returnValue QProblemB::backsolveR(      const real_t* const b, BooleanType transposed,
                                                                        BooleanType removingBound,
                                                                        real_t* const a
                                                                        )
{
        int i, j;
        int nR = getNZ( );

        real_t sum;

        /* if backsolve is called while removing a bound, reduce nZ by one. */
        if ( removingBound == BT_TRUE )
                --nR;

        /* nothing to do */
        if ( nR <= 0 )
                return SUCCESSFUL_RETURN;


        /* Solve Ra = b, where R might be transposed. */
        if ( transposed == BT_FALSE )
        {
                /* solve Ra = b */
                for( i=(nR-1); i>=0; --i )
                {
                        sum = b[i];
                        for( j=(i+1); j<nR; ++j )
                                sum -= R[i*NVMAX + j] * a[j];

                        if ( getAbs( R[i*NVMAX + i] ) > ZERO )
                                a[i] = sum / R[i*NVMAX + i];
                        else
                                return THROWERROR( RET_DIV_BY_ZERO );
                }
        }
        else
        {
                /* solve R^T*a = b */
                for( i=0; i<nR; ++i )
                {
                        sum = b[i];

                        for( j=0; j<i; ++j )
                                sum -= R[j*NVMAX + i] * a[j];

                        if ( getAbs( R[i*NVMAX + i] ) > ZERO )
                                a[i] = sum / R[i*NVMAX + i];
                        else
                                return THROWERROR( RET_DIV_BY_ZERO );
                }
        }

        return SUCCESSFUL_RETURN;
}


/*
 *      h o t s t a r t _ d e t e r m i n e D a t a S h i f t
 */
returnValue QProblemB::hotstart_determineDataShift(     const int* const FX_idx,
                                                                                                        const real_t* const g_new, const real_t* const lb_new, const real_t* const ub_new,
                                                                                                        real_t* const delta_g, real_t* const delta_lb, real_t* const delta_ub,
                                                                                                        BooleanType& Delta_bB_isZero
                                                                                                        )
{
        int i, ii;
        int nV  = getNV( );
        int nFX = getNFX( );


        /* 1) Calculate shift directions. */
        for( i=0; i<nV; ++i )
                delta_g[i]  = g_new[i]  - g[i];

        if ( lb_new != 0 )
        {
                for( i=0; i<nV; ++i )
                        delta_lb[i] = lb_new[i] - lb[i];
        }
        else
        {
                /* if no lower bounds exist, assume the new lower bounds to be -infinity */
                for( i=0; i<nV; ++i )
                        delta_lb[i] = -INFTY - lb[i];
        }

        if ( ub_new != 0 )
        {
                for( i=0; i<nV; ++i )
                        delta_ub[i] = ub_new[i] - ub[i];
        }
        else
        {
                /* if no upper bounds exist, assume the new upper bounds to be infinity */
                for( i=0; i<nV; ++i )
                        delta_ub[i] = INFTY - ub[i];
        }

        /* 2) Determine if active bounds are to be shifted. */
        Delta_bB_isZero = BT_TRUE;

        for ( i=0; i<nFX; ++i )
        {
                ii = FX_idx[i];

                if ( ( getAbs( delta_lb[ii] ) > EPS ) || ( getAbs( delta_ub[ii] ) > EPS ) )
                {
                        Delta_bB_isZero = BT_FALSE;
                        break;
                }
        }

        return SUCCESSFUL_RETURN;
}


/*
 *      a r e B o u n d s C o n s i s t e n t
 */
BooleanType QProblemB::areBoundsConsistent(     const real_t* const delta_lb, const real_t* const delta_ub
                                                                                        ) const
{
        int i;

        /* Check if delta_lb[i] is greater than delta_ub[i]
         * for a component i whose bounds are already (numerically) equal. */
        for( i=0; i<getNV( ); ++i )
                if ( ( lb[i] > ub[i] - BOUNDTOL ) && ( delta_lb[i] > delta_ub[i] + EPS ) )
                        return BT_FALSE;

        return BT_TRUE;
}


/*
 *      s e t u p Q P d a t a
 */
returnValue QProblemB::setupQPdata(     const real_t* const _H, const real_t* const _g,
                                                                        const real_t* const _lb, const real_t* const _ub
                                                                        )
{
        int i, j;
        int nV = getNV( );

        /* 1) Setup Hessian matrix. */
        if ( _H == 0 )
                return THROWERROR( RET_INVALID_ARGUMENTS );

        for( i=0; i<nV; ++i )
                for( j=0; j<nV; ++j )
                        H[i*NVMAX + j] = _H[i*nV + j];

        /* 2) Setup gradient vector. */
        if ( _g == 0 )
                return THROWERROR( RET_INVALID_ARGUMENTS );

        for( i=0; i<nV; ++i )
                g[i] = _g[i];

        /* 3) Setup lower bounds vector. */
        if ( _lb != 0 )
        {
                for( i=0; i<nV; ++i )
                        lb[i] = _lb[i];
        }
        else
        {
                /* if no lower bounds are specified, set them to -infinity */
                for( i=0; i<nV; ++i )
                        lb[i] = -INFTY;
        }

        /* 4) Setup upper bounds vector. */
        if ( _ub != 0 )
        {
                for( i=0; i<nV; ++i )
                        ub[i] = _ub[i];
        }
        else
        {
                /* if no upper bounds are specified, set them to infinity */
                for( i=0; i<nV; ++i )
                        ub[i] = INFTY;
        }

        //printmatrix( "H",H,nV,nV );
        //printmatrix( "g",g,1,nV );
        //printmatrix( "lb",lb,1,nV );
        //printmatrix( "ub",ub,1,nV );

        return SUCCESSFUL_RETURN;
}



/*****************************************************************************
 *  P R I V A T E                                                            *
 *****************************************************************************/

/*
 *      h o t s t a r t _ d e t e r m i n e S t e p D i r e c t i o n
 */
returnValue QProblemB::hotstart_determineStepDirection( const int* const FR_idx, const int* const FX_idx,
                                                                                                                const real_t* const delta_g, const real_t* const delta_lb, const real_t* const delta_ub,
                                                                                                                BooleanType Delta_bB_isZero,
                                                                                                                real_t* const delta_xFX, real_t* const delta_xFR,
                                                                                                                real_t* const delta_yFX
                                                                                                                )
{
        int i, j, ii, jj;
        int nFR = getNFR( );
        int nFX = getNFX( );


        /* initialise auxiliary vectors */
        real_t HMX_delta_xFX[NVMAX];
        for( i=0; i<nFR; ++i )
                HMX_delta_xFX[i] = 0.0;


        /* I) DETERMINE delta_xFX */
        if ( nFX > 0 )
        {
                for( i=0; i<nFX; ++i )
                {
                        ii = FX_idx[i];

                        if ( bounds.getStatus( ii ) == ST_LOWER )
                                delta_xFX[i] = delta_lb[ii];
                        else
                                delta_xFX[i] = delta_ub[ii];
                }
        }


        /* II) DETERMINE delta_xFR */
        if ( nFR > 0 )
        {
                /* auxiliary variables */
                real_t delta_xFRz_TMP[NVMAX];
                real_t delta_xFRz_RHS[NVMAX];

                /* Determine delta_xFRz. */
                if ( Delta_bB_isZero == BT_FALSE )
                {
                        for( i=0; i<nFR; ++i )
                        {
                                ii = FR_idx[i];
                                for( j=0; j<nFX; ++j )
                                {
                                        jj = FX_idx[j];
                                        HMX_delta_xFX[i] += H[ii*NVMAX + jj] * delta_xFX[j];
                                }
                        }
                }

                if ( Delta_bB_isZero == BT_TRUE )
                {
                        for( j=0; j<nFR; ++j )
                        {
                                jj = FR_idx[j];
                                delta_xFRz_RHS[j] = delta_g[jj];
                        }
                }
                else
                {
                        for( j=0; j<nFR; ++j )
                        {
                                jj = FR_idx[j];
                                delta_xFRz_RHS[j] = delta_g[jj] + HMX_delta_xFX[j]; /* *ZFR */
                        }
                }

                for( i=0; i<nFR; ++i )
                        delta_xFR[i] = -delta_xFRz_RHS[i];

                if ( backsolveR( delta_xFR,BT_TRUE,delta_xFRz_TMP ) != SUCCESSFUL_RETURN )
                        return THROWERROR( RET_STEPDIRECTION_FAILED_CHOLESKY );

                if ( backsolveR( delta_xFRz_TMP,BT_FALSE,delta_xFR ) != SUCCESSFUL_RETURN )
                        return THROWERROR( RET_STEPDIRECTION_FAILED_CHOLESKY );
        }


        /* III) DETERMINE delta_yFX */
        if ( nFX > 0 )
        {
                for( i=0; i<nFX; ++i )
                {
                        ii = FX_idx[i];

                        delta_yFX[i] = 0.0;
                        for( j=0; j<nFR; ++j )
                        {
                                jj = FR_idx[j];
                                delta_yFX[i] += H[ii*NVMAX + jj] * delta_xFR[j];
                        }

                        if ( Delta_bB_isZero == BT_FALSE )
                        {
                                for( j=0; j<nFX; ++j )
                                {
                                        jj = FX_idx[j];
                                        delta_yFX[i] += H[ii*NVMAX + jj] * delta_xFX[j];
                                }
                        }

                        delta_yFX[i] += delta_g[ii];
                }
        }

        return SUCCESSFUL_RETURN;
}


/*
 *      h o t s t a r t _ d e t e r m i n e S t e p L e n g t h
 */
returnValue QProblemB::hotstart_determineStepLength(    const int* const FR_idx, const int* const FX_idx,
                                                                                                                const real_t* const delta_lb, const real_t* const delta_ub,
                                                                                                                const real_t* const delta_xFR,
                                                                                                                const real_t* const delta_yFX,
                                                                                                                int& BC_idx, SubjectToStatus& BC_status
                                                                                                                )
{
        int i, ii;
        int nFR = getNFR( );
        int nFX = getNFX( );

        real_t tau_tmp;
        real_t tau_new = 1.0;

        BC_idx = 0;
        BC_status = ST_UNDEFINED;


        /* I) DETERMINE MAXIMUM DUAL STEPLENGTH, i.e. ensure that
         *    active dual bounds remain valid (ignoring implicitly fixed variables): */
        for( i=0; i<nFX; ++i )
        {
                ii = FX_idx[i];

                if ( bounds.getType( ii ) != ST_EQUALITY )
                {
                        if ( bounds.getStatus( ii ) == ST_LOWER )
                        {
                                /* 1) Active lower bounds. */
                                if ( ( delta_yFX[i] < -ZERO ) && ( y[ii] >= 0.0 ) )
                                {
                                        tau_tmp = y[ii] / ( -delta_yFX[i] );
                                        if ( tau_tmp < tau_new )
                                        {
                                                if ( tau_tmp >= 0.0 )
                                                {
                                                        tau_new = tau_tmp;
                                                        BC_idx = ii;
                                                        BC_status = ST_INACTIVE;
                                                }
                                        }
                                }
                        }
                        else
                        {
                                /* 2) Active upper bounds. */
                                if ( ( delta_yFX[i] > ZERO ) && ( y[ii] <= 0.0 ) )
                                {
                                        tau_tmp = y[ii] / ( -delta_yFX[i] );
                                        if ( tau_tmp < tau_new )
                                        {
                                                if ( tau_tmp >= 0.0 )
                                                {
                                                        tau_new = tau_tmp;
                                                        BC_idx = ii;
                                                        BC_status = ST_INACTIVE;
                                                }
                                        }
                                }
                        }
                }
        }


        /* II) DETERMINE MAXIMUM PRIMAL STEPLENGTH, i.e. ensure that
         *     inactive bounds remain valid (ignoring unbounded variables). */
        /* 1) Inactive lower bounds. */
        if ( bounds.isNoLower( ) == BT_FALSE )
        {
                for( i=0; i<nFR; ++i )
                {
                        ii = FR_idx[i];

                        if ( bounds.getType( ii ) != ST_UNBOUNDED )
                        {
                                if ( delta_lb[ii] > delta_xFR[i] )
                                {
                                        if ( x[ii] > lb[ii] )
                                                tau_tmp = ( x[ii] - lb[ii] ) / ( delta_lb[ii] - delta_xFR[i] );
                                        else
                                                tau_tmp = 0.0;

                                        if ( tau_tmp < tau_new )
                                        {
                                                if ( tau_tmp >= 0.0 )
                                                {
                                                        tau_new = tau_tmp;
                                                        BC_idx = ii;
                                                        BC_status = ST_LOWER;
                                                }
                                        }
                                }
                        }
                }
        }

        /* 2) Inactive upper bounds. */
        if ( bounds.isNoUpper( ) == BT_FALSE )
        {
                for( i=0; i<nFR; ++i )
                {
                        ii = FR_idx[i];

                        if ( bounds.getType( ii ) != ST_UNBOUNDED )
                        {
                                if ( delta_ub[ii] < delta_xFR[i] )
                                {
                                        if ( x[ii] < ub[ii] )
                                                tau_tmp = ( x[ii] - ub[ii] ) / ( delta_ub[ii] - delta_xFR[i] );
                                        else
                                                tau_tmp = 0.0;

                                        if ( tau_tmp < tau_new )
                                        {
                                                if ( tau_tmp >= 0.0 )
                                                {
                                                        tau_new = tau_tmp;
                                                        BC_idx = ii;
                                                        BC_status = ST_UPPER;
                                                }
                                        }
                                }
                        }
                }
        }


        /* III) SET MAXIMUM HOMOTOPY STEPLENGTH */
        tau = tau_new;

        if ( printlevel ==  PL_HIGH )
        {
                #ifdef PC_DEBUG
                char messageString[80];

                if ( BC_status == ST_UNDEFINED )
                        sprintf( messageString,"Stepsize is %.6e!",tau );
                else
                        sprintf( messageString,"Stepsize is %.6e! (BC_idx = %d, BC_status = %d)",tau,BC_idx,BC_status );

                getGlobalMessageHandler( )->throwInfo( RET_STEPSIZE_NONPOSITIVE,messageString,__FUNCTION__,__FILE__,__LINE__,VS_VISIBLE );
                #endif
        }

        return SUCCESSFUL_RETURN;
}


/*
 *      h o t s t a r t _ p e r f o r m S t e p
 */
returnValue QProblemB::hotstart_performStep(    const int* const FR_idx, const int* const FX_idx,
                                                                                                const real_t* const delta_g, const real_t* const  delta_lb, const real_t* const delta_ub,
                                                                                                const real_t* const delta_xFX, const real_t* const delta_xFR,
                                                                                                const real_t* const delta_yFX,
                                                                                                int BC_idx, SubjectToStatus BC_status
                                                                                                )
{
        int i, ii;
        int nV  = getNV( );
        int nFR = getNFR( );
        int nFX = getNFX( );


        /* I) CHECK BOUNDS' CONSISTENCY */
        if ( areBoundsConsistent( delta_lb,delta_ub ) == BT_FALSE )
        {
                infeasible = BT_TRUE;
                tau = 0.0;

                return THROWERROR( RET_QP_INFEASIBLE );
        }


        /* II) GO TO ACTIVE SET CHANGE */
        if ( tau > ZERO )
        {
                /* 1) Perform step in primal und dual space. */
                for( i=0; i<nFR; ++i )
                {
                        ii = FR_idx[i];
                        x[ii] += tau*delta_xFR[i];
                }

                for( i=0; i<nFX; ++i )
                {
                        ii = FX_idx[i];
                        x[ii] += tau*delta_xFX[i];
                        y[ii] += tau*delta_yFX[i];
                }

                /* 2) Shift QP data. */
                for( i=0; i<nV; ++i )
                {
                        g[i]  += tau*delta_g[i];
                        lb[i] += tau*delta_lb[i];
                        ub[i] += tau*delta_ub[i];
                }
        }
        else
        {
                /* print a stepsize warning if stepsize is zero */
                #ifdef PC_DEBUG
                char messageString[80];
                sprintf( messageString,"Stepsize is %.6e",tau );
                getGlobalMessageHandler( )->throwWarning( RET_STEPSIZE,messageString,__FUNCTION__,__FILE__,__LINE__,VS_VISIBLE );
                #endif
        }


        /* setup output preferences */
        #ifdef PC_DEBUG
        char messageString[80];
        VisibilityStatus visibilityStatus;

        if ( printlevel == PL_HIGH )
                visibilityStatus = VS_VISIBLE;
        else
                visibilityStatus = VS_HIDDEN;
        #endif


        /* III) UPDATE ACTIVE SET */
        switch ( BC_status )
        {
                /* Optimal solution found as no working set change detected. */
                case ST_UNDEFINED:
                        return RET_OPTIMAL_SOLUTION_FOUND;


                /* Remove one variable from active set. */
                case ST_INACTIVE:
                        #ifdef PC_DEBUG
                        sprintf( messageString,"bound no. %d.", BC_idx );
                        getGlobalMessageHandler( )->throwInfo( RET_REMOVE_FROM_ACTIVESET,messageString,__FUNCTION__,__FILE__,__LINE__,visibilityStatus );
                        #endif

                        if ( removeBound( BC_idx,BT_TRUE ) != SUCCESSFUL_RETURN )
                                return THROWERROR( RET_REMOVE_FROM_ACTIVESET_FAILED );

                        y[BC_idx] = 0.0;
                        break;


                /* Add one variable to active set. */
                default:
                        #ifdef PC_DEBUG
                        if ( BC_status == ST_LOWER )
                                sprintf( messageString,"lower bound no. %d.", BC_idx );
                        else
                                sprintf( messageString,"upper bound no. %d.", BC_idx );
                                getGlobalMessageHandler( )->throwInfo( RET_ADD_TO_ACTIVESET,messageString,__FUNCTION__,__FILE__,__LINE__,visibilityStatus );
                        #endif

                        if ( addBound( BC_idx,BC_status,BT_TRUE ) != SUCCESSFUL_RETURN )
                                return THROWERROR( RET_ADD_TO_ACTIVESET_FAILED );
                        break;
        }

        return SUCCESSFUL_RETURN;
}


#ifdef PC_DEBUG  /* Define print functions only for debugging! */

/*
 *      p r i n t I t e r a t i o n
 */
returnValue QProblemB::printIteration(  int iteration,
                                                                                int BC_idx,     SubjectToStatus BC_status
                                                                                )
{
        char myPrintfString[160];

        /* consistency check */
        if ( iteration < 0 )
                return THROWERROR( RET_INVALID_ARGUMENTS );

        /* nothing to do */
        if ( printlevel != PL_MEDIUM )
                return SUCCESSFUL_RETURN;


        /* 1) Print header at first iteration. */
        if ( iteration == 0 )
        {
                sprintf( myPrintfString,"\n##############  qpOASES  --  QP NO.%4.1d  ###############\n", count );
                myPrintf( myPrintfString );

                sprintf( myPrintfString,"   Iter   |   StepLength    |       Info      |   nFX   \n" );
                myPrintf( myPrintfString );
        }

        /* 2) Print iteration line. */
        if ( BC_status == ST_UNDEFINED )
        {
                sprintf( myPrintfString,"   %4.1d   |   %1.5e   |    QP SOLVED    |  %4.1d   \n", iteration,tau,getNFX( ) );
                myPrintf( myPrintfString );
        }
        else
        {
                char info[8];

                if ( BC_status == ST_INACTIVE )
                        sprintf( info,"REM BND" );
                else
                        sprintf( info,"ADD BND" );

                sprintf( myPrintfString,"   %4.1d   |   %1.5e   |   %s%4.1d   |  %4.1d   \n", iteration,tau,info,BC_idx,getNFX( ) );
                myPrintf( myPrintfString );
        }

        return SUCCESSFUL_RETURN;
}

#endif  /* PC_DEBUG */



/*
 *      c h e c k K K T c o n d i t i o n s
 */
returnValue QProblemB::checkKKTconditions( )
{
        #ifdef __PERFORM_KKT_TEST__

        int i, j;
        int nV = getNV( );

        real_t tmp;
        real_t maxKKTviolation = 0.0;


        /* 1) Check for Hx + g - y*A' = 0  (here: A = Id). */
        for( i=0; i<nV; ++i )
        {
                tmp = g[i];

                for( j=0; j<nV; ++j )
                        tmp += H[i*nV + j] * x[j];

                tmp -= y[i];

                if ( getAbs( tmp ) > maxKKTviolation )
                        maxKKTviolation = getAbs( tmp );
        }

        /* 2) Check for lb <= x <= ub. */
        for( i=0; i<nV; ++i )
        {
                if ( lb[i] - x[i] > maxKKTviolation )
                        maxKKTviolation = lb[i] - x[i];

                if ( x[i] - ub[i] > maxKKTviolation )
                        maxKKTviolation = x[i] - ub[i];
        }

        /* 3) Check for correct sign of y and for complementary slackness. */
        for( i=0; i<nV; ++i )
        {
                switch ( bounds.getStatus( i ) )
                {
                        case ST_LOWER:
                                if ( -y[i] > maxKKTviolation )
                                        maxKKTviolation = -y[i];
                                if ( getAbs( ( x[i] - lb[i] ) * y[i] ) > maxKKTviolation )
                                        maxKKTviolation = getAbs( ( x[i] - lb[i] ) * y[i] );
                                break;

                        case ST_UPPER:
                                if ( y[i] > maxKKTviolation )
                                        maxKKTviolation = y[i];
                                if ( getAbs( ( ub[i] - x[i] ) * y[i] ) > maxKKTviolation )
                                        maxKKTviolation = getAbs( ( ub[i] - x[i] ) * y[i] );
                                break;

                        default: /* inactive */
                        if ( getAbs( y[i] ) > maxKKTviolation )
                                        maxKKTviolation = getAbs( y[i] );
                                break;
                }
        }

        if ( maxKKTviolation > CRITICALACCURACY )
                return RET_NO_SOLUTION;

        if ( maxKKTviolation > DESIREDACCURACY )
                return RET_INACCURATE_SOLUTION;

        #endif /* __PERFORM_KKT_TEST__ */

        return SUCCESSFUL_RETURN;
}



/*
 *      end of file
 */