path: root/src/math/math_FunctionSetRoot.cxx

//static const char* sccsid = "@(#)math_FunctionSetRoot.cxx	3.2 95/01/10"; // Do not delete this line. Used by sccs.
// pmn 15/05/97 pas de Gauss avec des pivot trop petit. SVD fait mieux 
// l'affaire + limitation de la longeur du pas + qq comentaire issus d'EUCLID3
// pmn 10/06/97 refonte totale du traitement des bords + ajustement des init 
// et des tolerances pour brent...

//#ifndef DEB
#define No_Standard_RangeError
#define No_Standard_OutOfRange
#define No_Standard_DimensionError
//#endif

//math_FunctionSetRoot.cxx


#include <math_FunctionSetRoot.ixx>
#include <Standard_DimensionError.hxx>
#include <math_Gauss.hxx>
#include <math_SVD.hxx>
#include <math_GaussLeastSquare.hxx>
#include <math_IntegerVector.hxx>
#include <math_Function.hxx>
#include <math_BrentMinimum.hxx>
#include <math_FunctionSetWithDerivatives.hxx>
#include <Precision.hxx>


//===========================================================================
// - A partir d une solution de depart, recherche d une direction.( Newton la 
// plupart du temps, gradient si Newton echoue.
//
// - Recadrage au niveau des bornes avec recalcul de la direction si une
// inconnue a une valeur imposee.
//
// -Si On ne sort pas des bornes
//   Tant que (On ne progresse pas assez ou on ne change pas de direction) 
//    . Si (Progression encore possible) 
//        Si (On ne sort pas des bornes) 
//          On essaye de progresser dans cette meme direction.
//        Sinon
//          On diminue le pas d'avancement ou on change de direction.
//      Sinon 
//        Si on depasse le minimum
//          On fait une interpolation parabolique.
//        
// - Si on a progresse sur F
//     On fait les tests d'arret
//   Sinon
//     On change de direction
//============================================================================

static  Standard_Boolean mydebug = Standard_False;

class MyDirFunction : public math_Function
{

     math_Vector *P0;
     math_Vector *Dir;
     math_Vector *P;
     math_Vector *FV;
     math_FunctionSetWithDerivatives *F;

public :

     MyDirFunction(math_Vector& V1, 
		   math_Vector& V2,
		   math_Vector& V3,
		   math_Vector& V4,
		   math_FunctionSetWithDerivatives& f) ;
     
     void Initialize(const math_Vector& p0, const math_Vector& dir) const;
//For hp :
     Standard_Boolean Value(const math_Vector& Sol, math_Vector& FF,
			    math_Matrix& DF, math_Vector& GH, 
			    Standard_Real& F2, Standard_Real& Gnr1);
//     Standard_Boolean MyDirFunction::Value(const math_Vector& Sol, math_Vector& FF,
//					   math_Matrix& DF, math_Vector& GH, 
//					   Standard_Real& F2, Standard_Real& Gnr1);
     Standard_Boolean Value(const Standard_Real x, Standard_Real& fval) ;
     
};

MyDirFunction::MyDirFunction(math_Vector& V1, 
			     math_Vector& V2,
			     math_Vector& V3,
			     math_Vector& V4,
			     math_FunctionSetWithDerivatives& f) {
        
  P0  = &V1;
  Dir = &V2;
  P   = &V3;
  FV =  &V4;
  F   = &f;
}

void MyDirFunction::Initialize(const math_Vector& p0, 
				    const math_Vector& dir)  const
{
  *P0 = p0;
  *Dir = dir;
}


Standard_Boolean MyDirFunction::Value(const Standard_Real x, 
				      Standard_Real& fval) 
{
  Standard_Real p;
  for(Standard_Integer i = P->Lower(); i <= P->Upper(); i++) {
    p = Dir->Value(i);
    P->Value(i) = p * x + P0->Value(i);
  }
  if( F->Value(*P, *FV) ) {

    Standard_Real aVal = 0.;

    for(Standard_Integer i = FV->Lower(); i <= FV->Upper(); i++) {
      aVal = FV->Value(i);
      if(aVal < 0.) {
	if(aVal <= -1.e+100) // Precision::HalfInfinite() later
//       if(Precision::IsInfinite(Abs(FV->Value(i)))) {
//	fval = Precision::Infinite();
	return Standard_False;
      }
      else if(aVal >= 1.e+100) // Precision::HalfInfinite() later
	return Standard_False;
    }

    fval = 0.5 * (FV->Norm2());
    return Standard_True;
  }
  return Standard_False;
}

Standard_Boolean  MyDirFunction::Value(const math_Vector& Sol,
				       math_Vector& FF,
				       math_Matrix& DF,
				       math_Vector& GH,
				       Standard_Real& F2,
				       Standard_Real& Gnr1)
{
  if( F->Values(Sol, FF, DF) ) {

    Standard_Real aVal = 0.;

    for(Standard_Integer i = FF.Lower(); i <= FF.Upper(); i++) {
// modified by NIZHNY-MKK  Mon Oct  3 17:56:50 2005.BEGIN
      aVal = FF.Value(i);
      if(aVal < 0.) {
	if(aVal <= -1.e+100) // Precision::HalfInfinite() later
//       if(Precision::IsInfinite(Abs(FF.Value(i)))) {
//	F2 = Precision::Infinite();
//	Gnr1 = Precision::Infinite();
	  return Standard_False;
      }
      else if(aVal >= 1.e+100) // Precision::HalfInfinite() later
	return Standard_False;
// modified by NIZHNY-MKK  Mon Oct  3 17:57:05 2005.END
    }


    F2 = 0.5 * (FF.Norm2());
    GH.TMultiply(DF, FF);
    Gnr1 = GH.Norm2();
    return Standard_True;
  }
  return Standard_False;
}


//--------------------------------------------------------------
static Standard_Boolean MinimizeDirection(const math_Vector&   P0,
					  const math_Vector&   P1,
					  const math_Vector&   P2,
					  const Standard_Real  F1,
					  math_Vector&         Delta,
					  const math_Vector&   Tol,
					  MyDirFunction& F)
// Purpose : minimisation a partir de 3 points
//-------------------------------------------------------
{
  // (1) Evaluation d'un tolerance parametrique 1D
  Standard_Real tol1d = 2.1 , invnorme, tsol;
  Standard_Real Eps = 1.e-16;
  Standard_Real ax, bx, cx;

  for (Standard_Integer ii =1; ii<=Tol.Length(); ii++) {
    invnorme = Abs(Delta(ii));
    if  (invnorme>Eps) tol1d = Min(tol1d, Tol(ii) / invnorme);
  }  
  if (tol1d > 1.9) return Standard_False; //Pas la peine de se fatiguer
  tol1d /= 3; 

//JR/Hp :
  math_Vector PP0 = P0 ;
  math_Vector PP1 = P1 ;
  Delta = PP1 - PP0;
//  Delta = P1 - P0;
  invnorme = Delta.Norm();
  if (invnorme <= Eps) return Standard_False;
  invnorme = ((Standard_Real) 1) / invnorme;

  F.Initialize(P1, Delta);

  // (2) On minimise
  if (mydebug)cout << "      minimisation dans la direction" << endl;
  ax = -1; bx = 0;
  cx = (P2-P1).Norm()*invnorme;
  if (cx < 1.e-2) return Standard_False;
  math_BrentMinimum Sol(F, ax, bx, cx, tol1d, 100, tol1d);
  if(Sol.IsDone()) {
    tsol = Sol.Location();
    if (Sol.Minimum() < F1) {
      Delta.Multiply(tsol);
      return Standard_True;
    }
  }
  return Standard_False;
}

//----------------------------------------------------------------------
static Standard_Boolean MinimizeDirection(const math_Vector&   P,
					  math_Vector&   Dir,
					  const Standard_Real& PValue,
					  const Standard_Real& PDirValue,
					  const math_Vector&   Gradient,
					  const math_Vector&   DGradient,
					  const math_Vector&   Tol,
					  MyDirFunction& F)
// Purpose: minimisation a partir de 2 points et une derives
//----------------------------------------------------------------------

{
  // (0) Evaluation d'un tolerance parametrique 1D
  Standard_Boolean good = Standard_False;
  Standard_Real Eps = 1.e-20;
  Standard_Real tol1d = 1.1, Result = PValue, absdir;

  for (Standard_Integer ii =1; ii<=Tol.Length(); ii++) {
    absdir = Abs(Dir(ii));
    if (absdir >Eps) tol1d = Min(tol1d, Tol(ii) / absdir);
  }
  if (tol1d > 0.9) return Standard_False;
    
  // (1) On realise une premiere interpolation quadratique
  Standard_Real ax, bx, cx, df1, df2, Delta, tsol, fsol, tsolbis;
  if (mydebug) { cout << "     essai d interpolation" << endl;}

  df1 = Gradient*Dir;
  df2 = DGradient*Dir;

  if (df1<-Eps && df2>Eps) { // cuvette
    tsol = - df1 / (df2 - df1);
  }
  else {
    cx = PValue;
    bx = df1;
    ax = PDirValue - (bx+cx);

    if (Abs(ax) <= Eps) { // cas lineaire
      if ((Abs(bx) >= Eps)) tsol = - cx/bx;
      else                  tsol = 0;
    }
    else { // cas quadratique
      Delta = bx*bx - 4*ax*cx;
      if (Delta > 1.e-9) {
	// il y a des racines, on prend la plus proche de 0
	Delta = Sqrt(Delta);
	tsol = -(bx + Delta);
	tsolbis = (Delta - bx);
	if (Abs(tsolbis) < Abs(tsol)) tsol = tsolbis;
	tsol /= 2*ax;
      }
      else {
	// pas ou peu de racine : on "extremise"
	tsol = -(0.5*bx)/ax;
      }
    }
  }

  if (Abs(tsol) >= 1) return Standard_False; //resultat sans interet

  F.Initialize(P, Dir);
  F.Value(tsol, fsol);

  if (fsol<PValue) { 
    good = Standard_True;
    Result = fsol;
    if (mydebug) cout << "t= "<<tsol<<" F = " << fsol << " OldF = "<<PValue <<endl;
  }

  // (2) Si l'on a pas assez progresser on realise une recherche 
  //     en bonne et due forme, a partir des inits precedents
  if ((fsol > 0.2*PValue) && (tol1d < 0.5)) {
    
    if (tsol <0) {
      ax = tsol; bx = 0.0; cx = 1.0;
    }
    else {
      ax = 0.0; bx = tsol; cx = 1.0;
    }
    if (mydebug) cout << " minimisation dans la direction" << endl;
    math_BrentMinimum Sol(F, ax, bx, cx, tol1d, 100, tol1d);
    if(Sol.IsDone()) {
      if (Sol.Minimum() <= Result) {
	tsol = Sol.Location();
	good = Standard_True;
	if (mydebug) cout << "t= "<<tsol<<" F ="<< Sol.Minimum() 
	                  << " OldF = "<<Result <<endl;
      }
    }
  }
  if (good) {
    // mise a jour du Delta
    Dir.Multiply(tsol);
  }
  return good;
}

//------------------------------------------------------
static void SearchDirection(const math_Matrix& DF,
			    const math_Vector& GH,
			    const math_Vector& FF,
			    Standard_Boolean ChangeDirection,
			    const math_Vector& InvLengthMax, 
			    math_Vector& Direction,
			    Standard_Real& Dy)

{
  Standard_Integer Ninc = DF.ColNumber(), Neq = DF.RowNumber();
  Standard_Real Eps = 1.e-32;
  if (!ChangeDirection) {
    if (Ninc == Neq) {
      for (Standard_Integer i = FF.Lower(); i <= FF.Upper(); i++) {
	Direction(i) = -FF(i);
      }
      math_Gauss Solut(DF, 1.e-9);
      if (Solut.IsDone()) Solut.Solve(Direction);
      else { // we have to "forget" singular directions.
	if (mydebug) cout << " Matrice singuliere : On prend SVD" << endl;
	math_SVD SolvebySVD(DF);
        if (SolvebySVD.IsDone()) SolvebySVD.Solve(-1*FF, Direction);
	else ChangeDirection = Standard_True;
      } 
    }
    else if (Ninc > Neq) {
      math_SVD Solut(DF);
      if (Solut.IsDone()) Solut.Solve(-1*FF, Direction);
      else ChangeDirection = Standard_True;
    }
    else if (Ninc < Neq) {         // Calcul par GaussLeastSquare
      math_GaussLeastSquare Solut(DF);    
      if (Solut.IsDone()) Solut.Solve(-1*FF, Direction);
      else ChangeDirection = Standard_True;
    }
  }
  // Il vaut mieux interdire des directions trops longue
  // Afin de blinder les cas trop mal conditionne
  // PMN 12/05/97 Traitement des singularite dans les conges
  // Sur des surfaces periodiques
  
  Standard_Real ratio = Abs( Direction(Direction.Lower())
			    *InvLengthMax(Direction.Lower()) );
  Standard_Integer i;
  for (i = Direction.Lower()+1; i<=Direction.Upper(); i++) {
    ratio = Max(ratio,  Abs( Direction(i)*InvLengthMax(i)) );
  }
  if (ratio > 1) {
    Direction /= ratio;
  }
  
  Dy = Direction*GH;
  if (Dy >= -Eps) { // newton "ne descend pas" on prend le gradient
    ChangeDirection = Standard_True;
  }
  if (ChangeDirection) { // On va faire un gradient !
    for (i = Direction.Lower(); i <= Direction.Upper(); i++) {
      Direction(i) = - GH(i);
    }
    Dy = - (GH.Norm2());
  }
}


//=====================================================================
static void SearchDirection(const math_Matrix& DF, 
			    const math_Vector& GH,
			    const math_Vector& FF,
			    const math_IntegerVector& Constraints,
//			    const math_Vector& X, // Le point d'init
			    const math_Vector& , // Le point d'init
			    Standard_Boolean ChangeDirection,
                            const math_Vector& InvLengthMax,
			    math_Vector& Direction,
			    Standard_Real& Dy)
//Purpose : Recherche une direction (et un pas si Newton Fonctionne) le long
//          d'une frontiere
//=====================================================================
{
  Standard_Integer Ninc = DF.ColNumber(), Neq = DF.RowNumber();
  Standard_Integer i, j, k, Cons = 0;

  // verification sur les bornes imposees:

  for (i = 1; i <= Ninc; i++) {
    if (Constraints(i) != 0) Cons++;
    // sinon le systeme a resoudre ne change pas.
  }

  if (Cons == 0) {
    SearchDirection(DF, GH, FF, ChangeDirection, InvLengthMax, 
		    Direction, Dy);
  }
  else if (Cons == Ninc) { // il n'y a plus rien a faire...
    for(Standard_Integer i = Direction.Lower(); i <= Direction.Upper(); i++) {
	Direction(i) = 0;
      }
    Dy = 0;
  }
  else { //(1) Cas general : On definit un sous probleme
    math_Matrix DF2(1, Neq, 1, Ninc-Cons);
    math_Vector MyGH(1, Ninc-Cons);
    math_Vector MyDirection(1, Ninc-Cons);
    math_Vector MyInvLengthMax(1, Ninc);

    for (k=1, i = 1; i <= Ninc; i++) {
      if (Constraints(i) == 0) { 
	  MyGH(k) = GH(i);
          MyInvLengthMax(k) = InvLengthMax(i);
	  MyDirection(k) = Direction(i);
	  for (j = 1; j <= Neq; j++) {
	   DF2(j, k) = DF(j, i);
	 }
	  k++; //on passe a l'inconnue suivante
	}
    }
    //(2) On le resoud
    SearchDirection(DF2, MyGH, FF, ChangeDirection, MyInvLengthMax, 
		    MyDirection, Dy);

    // (3) On l'interprete...
    // Reconstruction de Direction:
    for (i = 1, k = 1; i <= Ninc; i++) {
      if (Constraints(i) == 0) {
	if (!ChangeDirection) {
	  Direction(i) = MyDirection(k);
	}
	else Direction(i) = - GH(i);
	k++;
      }
      else {
	Direction(i) = 0.0;
      }
    }
  }
}



//====================================================
Standard_Boolean Bounds(const math_Vector& InfBound,
			const math_Vector& SupBound,
			const math_Vector& Tol,
			math_Vector&       Sol,
			const math_Vector& SolSave,
			math_IntegerVector& Constraints,
			math_Vector&        Delta)
//
// Purpose : Troncate un pas d'optimisation pour rester 
//           dans le domaine, Delta donne le pas final
//======================================================
{
  Standard_Boolean Out = Standard_False;
  Standard_Integer i, Ninc = Sol.Length();
  Standard_Real    monratio = 1;
  
  // Calcul du ratio de recadrage
  for (i = 1; i <= Ninc; i++) {
    Constraints(i) = 0;
    Delta(i) = Sol(i) - SolSave(i);
    if (InfBound(i) == SupBound(i)) {
      Constraints(i) = 1;
      Out = Standard_True; // Ok mais, cela devrait etre eviter
    }
    else if(Sol(i) < InfBound(i)) {
      Constraints(i) = 1;
      Out = Standard_True;
      if (Abs(Delta(i)) > Tol(i)) // Afin d'eviter des ratio nulles pour rien
	monratio = Min(monratio, Abs( (SolSave(i)-InfBound(i))/Delta(i)) );
    }
    else if (Sol(i) > SupBound(i)) {
      Constraints(i) = 1;
      Out = Standard_True;
      if (Abs(Delta(i)) > Tol(i))
	monratio = Min(monratio, Abs( (SolSave(i)-SupBound(i))/Delta(i)) );
    }
  }

  if (Out){ // Troncature et derniers recadrage pour blinder (pb numeriques)
    Delta *= monratio;
    Sol = SolSave+Delta;
    for (i = 1; i <= Ninc; i++) {
      if(Sol(i) < InfBound(i))  {
	Sol(i) = InfBound(i);
	Delta(i) = Sol(i) - SolSave(i);
      }
      else if (Sol(i) > SupBound(i)) {
	Sol(i) = SupBound(i);
	Delta(i) = Sol(i) - SolSave(i);
      }
    }
  }
  return Out;
}





math_FunctionSetRoot::math_FunctionSetRoot(math_FunctionSetWithDerivatives& F,
					   const math_Vector& Tolerance,
					   const Standard_Integer NbIterations) :
                                           Delta(1, F.NbVariables()),
                                           Sol(1, F.NbVariables()),
                                           DF(1, F.NbEquations(),
					      1, F.NbVariables()),
                                           Tol(1,F.NbVariables()),

                                           InfBound(1, F.NbVariables()),
                                           SupBound(1, F.NbVariables()),

                                           SolSave(1, F.NbVariables()), 
					   GH(1, F.NbVariables()), 
					   DH(1, F.NbVariables()), 
					   DHSave(1, F.NbVariables()),
					   FF(1, F.NbEquations()), 
					   PreviousSolution(1, F.NbVariables()), 
					   Save(0, NbIterations),
					   Constraints(1, F.NbVariables()),
					   Temp1(1, F.NbVariables()), 
					   Temp2(1, F.NbVariables()), 
					   Temp3(1, F.NbVariables()), 
					   Temp4(1, F.NbEquations())

{
  for (Standard_Integer i = 1; i <= Tol.Length(); i++) {
    Tol(i) =Tolerance(i);
  }
  Itermax = NbIterations;
}

math_FunctionSetRoot::math_FunctionSetRoot(math_FunctionSetWithDerivatives& F,
					   const Standard_Integer NbIterations) :
                                           Delta(1, F.NbVariables()),
                                           Sol(1, F.NbVariables()),
                                           DF(1, F.NbEquations(),
					      1, F.NbVariables()),
                                           Tol(1, F.NbVariables()),

                                           InfBound(1, F.NbVariables()),
                                           SupBound(1, F.NbVariables()),

                                           SolSave(1, F.NbVariables()), 
					   GH(1, F.NbVariables()), 
					   DH(1, F.NbVariables()), 
					   DHSave(1, F.NbVariables()),
					   FF(1, F.NbEquations()), 
					   PreviousSolution(1, F.NbVariables()), 
					   Save(0, NbIterations),
					   Constraints(1, F.NbVariables()),
					   Temp1(1, F.NbVariables()), 
					   Temp2(1, F.NbVariables()), 
					   Temp3(1, F.NbVariables()), 
					   Temp4(1, F.NbEquations())

{
  Itermax = NbIterations;
}



math_FunctionSetRoot::math_FunctionSetRoot(math_FunctionSetWithDerivatives& F,
					   const math_Vector& StartingPoint,
					   const math_Vector& Tolerance,
					   const math_Vector& infBound,
					   const math_Vector& supBound,
					   const Standard_Integer NbIterations) :
                                           Delta(1, F.NbVariables()),
                                           Sol(1, F.NbVariables()),
                                           DF(1, F.NbEquations(),
					      1, F.NbVariables()),
                                           Tol(1,F.NbVariables()),


                                           InfBound(1, F.NbVariables()),
                                           SupBound(1, F.NbVariables()),

                                           SolSave(1, F.NbVariables()), 
					   GH(1, F.NbVariables()), 
					   DH(1, F.NbVariables()), 
					   DHSave(1, F.NbVariables()),
					   FF(1, F.NbEquations()), 
					   PreviousSolution(1, F.NbVariables()), 
					   Save(0, NbIterations),
					   Constraints(1, F.NbVariables()),
					   Temp1(1, F.NbVariables()), 
					   Temp2(1, F.NbVariables()), 
					   Temp3(1, F.NbVariables()), 
					   Temp4(1, F.NbEquations())

{
					  
  for (Standard_Integer i = 1; i <= Tol.Length(); i++) {
    Tol(i) =Tolerance(i);
  }
  Itermax = NbIterations;
  Perform(F, StartingPoint, infBound, supBound);
}

math_FunctionSetRoot::math_FunctionSetRoot(math_FunctionSetWithDerivatives& F,
					   const math_Vector& StartingPoint,
					   const math_Vector& Tolerance,
					   const Standard_Integer NbIterations) :
                                           Delta(1, F.NbVariables()),
                                           Sol(1, F.NbVariables()),
                                           DF(1, F.NbEquations(),
					      1, StartingPoint.Length()),
                                           Tol(1,F.NbVariables()),

                                           InfBound(1, F.NbVariables()),
                                           SupBound(1, F.NbVariables()),

                                           SolSave(1, F.NbVariables()), 
					   GH(1, F.NbVariables()), 
					   DH(1, F.NbVariables()), 
					   DHSave(1, F.NbVariables()),
					   FF(1, F.NbEquations()), 
					   PreviousSolution(1, F.NbVariables()), 
					   Save(0, NbIterations),
					   Constraints(1, F.NbVariables()),
					   Temp1(1, F.NbVariables()), 
					   Temp2(1, F.NbVariables()), 
					   Temp3(1, F.NbVariables()), 
					   Temp4(1, F.NbEquations())

 {
  for (Standard_Integer i = 1; i <= Tol.Length(); i++) {
    Tol(i) = Tolerance(i);
  }
  Itermax = NbIterations;
  InfBound.Init(RealFirst());
  SupBound.Init(RealLast());
  Perform(F, StartingPoint, InfBound, SupBound);
}

void math_FunctionSetRoot::Delete()
{}

void math_FunctionSetRoot::SetTolerance(const math_Vector& Tolerance)
{
  for (Standard_Integer i = 1; i <= Tol.Length(); i++) {
    Tol(i) = Tolerance(i);
  }
}

void math_FunctionSetRoot::Perform(math_FunctionSetWithDerivatives& F,
				   const math_Vector& StartingPoint,
	     		           const math_Vector& InfBound,
			           const math_Vector& SupBound) 
{
                                      
  Standard_Integer Ninc = F.NbVariables(), Neq = F.NbEquations();
  
  if ((Neq <= 0)                      ||
      (StartingPoint.Length()!= Ninc) ||
      (InfBound.Length() != Ninc)     ||
      (SupBound.Length() != Ninc))  { Standard_DimensionError:: Raise(); }

  Standard_Integer i;
  Standard_Boolean ChangeDirection = Standard_False, Sort = Standard_False;
  Standard_Boolean Good, Verif;
  Standard_Boolean Stop;
  Standard_Real Eps = 1.e-32, Progres = 0.005;
  Standard_Real F2, PreviousMinimum, Dy, OldF;
  Standard_Real Ambda, Ambda2, Gnr1, Oldgr;
  math_Vector InvLengthMax(1, Ninc); // Pour bloquer les pas a 1/4 du domaine
  math_IntegerVector Constraints(1, Ninc); // Pour savoir sur quels bord on se trouve
  for (i = 1; i <= Ninc ; i++) {
// modified by NIZHNY-MKK  Mon Oct  3 18:03:50 2005
//      InvLengthMax(i) = 1. / Max(Abs(SupBound(i) - InfBound(i))/4, 1.e-9);
    InvLengthMax(i) = 1. / Max((SupBound(i) - InfBound(i))/4, 1.e-9);
   }

  MyDirFunction F_Dir(Temp1, Temp2, Temp3, Temp4, F);
  Standard_Integer  DescenteIter;

  Done = Standard_False;
  Sol = StartingPoint;
  Kount = 0;

  // Verification de la validite des inconnues par rapport aux bornes.
  // Recentrage sur les bornes si pas valide.
  for ( i = 1; i <= Ninc; i++) {
    if (Sol(i) <= InfBound(i)) Sol(i) = InfBound(i);
    else if (Sol(i) > SupBound(i)) Sol(i) = SupBound(i);
  }

  // Calcul de la premiere valeur de F et de son gradient
  if(!F_Dir.Value(Sol, FF, DF, GH, F2, Gnr1)) {
    Done = Standard_False;
    State = F.GetStateNumber();
    return;
  }
  Ambda2 = Gnr1;
  // Le rang 0 de Save ne doit servir q'au test accelarteur en fin de boucle
  // s'il on est dejas sur la solution, il faut leurer ce test pour eviter
  // de faire une seconde iteration...
  Save(0) = Max (F2, Sqrt(Eps));

  if (mydebug) {
    cout << "=== Mode Debug de Function Set Root"<<endl;
    cout << "    F2 Initial = " << F2 << endl;
  }

  if ((F2 <= Eps) || (Sqrt(Gnr1) <= Eps)) {
    Done = Standard_True;
    State = F.GetStateNumber();
    return;
  }

  for (Kount = 1; Kount <= Itermax; Kount++) {
    PreviousMinimum = F2;
    Oldgr = Gnr1;
    PreviousSolution = Sol;
    SolSave = Sol;

    SearchDirection(DF, GH, FF, ChangeDirection, InvLengthMax, DH, Dy);
    if (Abs(Dy) <= Eps) {
      Done = Standard_True;
      State = F.GetStateNumber();
      return;
    }
    if (ChangeDirection) {
      Ambda = Ambda2/Sqrt(Abs(Dy));
      if (Ambda > 1.0) Ambda = 1.0;
    }
    else {
      Ambda = 1.0;
      Ambda2 = 0.5*Ambda/DH.Norm();
    }

    for( i = Sol.Lower(); i <= Sol.Upper(); i++) { 
      Sol(i) = Sol(i) + Ambda * DH(i);
    }
    Sort = Bounds(InfBound, SupBound, Tol, Sol, SolSave,
		  Constraints, Delta);

      
    DHSave = GH;
//    F_Dir.Value(Sol, FF, DF, GH, F2, Gnr1);
    if(!F_Dir.Value(Sol, FF, DF, GH, F2, Gnr1)) {
      Done = Standard_False;
      State = F.GetStateNumber();
      return;
    }

#if DEB
    if (mydebug) {
      cout << "Kount         = " << Kount << endl;
      cout << "Le premier F2 = " << F2 << endl;
      cout << "Direction     = " << ChangeDirection << endl;
    }
#endif

    if ((F2 <= Eps) || (Sqrt(Gnr1) <= Eps)) {
      Done = Standard_True;
      State = F.GetStateNumber();
      return;
    }

    if (Sort || (F2/PreviousMinimum > Progres)) {
      Dy = GH*DH;
      OldF = PreviousMinimum;
      Stop = Standard_False;
      Good = Standard_False;
      DescenteIter = 0;
      Standard_Boolean Sortbis;

      // -------------------------------------------------
      // Traitement standard sans traitement des bords
      // -------------------------------------------------
      if (!Sort) { // si l'on est pas sortie on essaye de progresser en avant
	while((F2/PreviousMinimum > Progres) && !Stop) {
	  if (F2 < OldF && (Dy < 0.0)) {
	    // On essaye de progresser dans cette direction.
	    if (mydebug)  cout << " iteration de descente = " << DescenteIter<<endl;
	    DescenteIter++;
	    SolSave = Sol;
	    OldF = F2;
	    for( i = Sol.Lower(); i <= Sol.Upper(); i++) {
	    Sol(i) = Sol(i) + Ambda * DH(i);
	  }
	    Stop = Bounds(InfBound, SupBound, Tol, Sol, SolSave, 
			  Constraints, Delta);
	    if (mydebug) { cout << " Augmentation de lambda" << endl;}
	    Ambda *= 1.7;
	  }
	  else {
	    if ((F2 >= OldF)||(F2 >= PreviousMinimum)) {
	      Good = Standard_False;
	      if (DescenteIter == 0) { 
		// C'est le premier pas qui flanche, on fait une interpolation.
		// et on minimise si necessaire.
		DescenteIter++;
		Good = MinimizeDirection(SolSave, Delta, OldF, F2, DHSave, GH,
					 Tol, F_Dir);
	      }
	      else if (ChangeDirection || (DescenteIter>1) 
		       || (OldF>PreviousMinimum) ) {
		// La progression a ete utile, on minimise...
		DescenteIter++;
		Good = MinimizeDirection(PreviousSolution, SolSave, Sol, 
					 OldF, Delta, Tol, F_Dir);
	      }
	      if (!Good) {
		Sol = SolSave;
		F2 = OldF;
	      }
	      else {
		Sol = SolSave+Delta;
	      }
	      Sort = Bounds(InfBound, SupBound, Tol, Sol, SolSave,
			    Constraints, Delta);
	      Sort = Standard_False; // On a rejete le point sur la frontiere
	    }
	    Stop = Standard_True; // et on sort dans tous les cas...
	  }
	  DHSave = GH;
//	  F_Dir.Value(Sol, FF, DF, GH, F2, Gnr1);
	  if(!F_Dir.Value(Sol, FF, DF, GH, F2, Gnr1)) {
	    Done = Standard_False;
	    State = F.GetStateNumber();
	    return;
	  }
	  Dy = GH*DH;
	  if (Abs(Dy) <= Eps) {
	    State = F.GetStateNumber();
	    Done = Standard_True;
	    if (F2 > OldF) Sol = SolSave;
	    return;
	  }
	  if (DescenteIter >= 10) {
	    Stop = Standard_True;
	  }
	}
	if (mydebug) {
	  cout << "--- Sortie du Traitement Standard"<<endl;
	  cout << "    DescenteIter = "<<DescenteIter << " F2 = " << F2 << endl;
	}
      }
      // ------------------------------------
      //  on passe au traitement des bords
      // ------------------------------------
      if (Sort) {
	Stop = (F2 > 1.001*OldF); // Pour ne pas progresser sur le bord
	Sortbis = Sort;
	DescenteIter = 0;
	while (Sortbis && ((F2<OldF)|| (DescenteIter == 0))
	       && (!Stop)) {
	  DescenteIter++;
	  // On essaye de progresser sur le bord
	  SolSave = Sol;
	  OldF = F2;
	  SearchDirection(DF, GH, FF,  Constraints, Sol, 
			  ChangeDirection, InvLengthMax, DH, Dy);
	  if (mydebug) { cout << " Conditional Direction = " << ChangeDirection << endl;}
	  if (Dy<-Eps) { //Pour eviter des calculs inutiles et des /0...
	    if (ChangeDirection) {

// 	      Ambda = Ambda2/Sqrt(Abs(Dy));
	      Ambda = Ambda2/Sqrt(-Dy);
	      if (Ambda > 1.0) Ambda = 1.0;
	    }
	    else {
	      Ambda = 1.0;
	      Ambda2 = 0.5*Ambda/DH.Norm();
	    }

	    for( i = Sol.Lower(); i <= Sol.Upper(); i++) { 
	      Sol(i) = Sol(i) + Ambda * DH(i);
	    }
	    Sortbis = Bounds(InfBound, SupBound, Tol, Sol, SolSave,
			     Constraints, Delta);

	    DHSave = GH;
//	    F_Dir.Value(Sol, FF, DF, GH, F2, Gnr1);
	    if(!F_Dir.Value(Sol, FF, DF, GH, F2, Gnr1)) {
	      Done = Standard_False;
	      State = F.GetStateNumber();
	      return;
	    }
	    Ambda2 = Gnr1;
	     if (mydebug) {
	       cout << "---  Iteration au bords : " << DescenteIter << endl; 
	       cout << "---  F2 = " << F2 << endl;
	     }
	  }
	  else {
	    Stop = Standard_True;
	  }

	  while((F2/PreviousMinimum > Progres) && (F2<OldF) && (!Stop) ) {
	    DescenteIter++;
	    if (mydebug)  cout << "--- Iteration de descente conditionnel = " 
	      << DescenteIter<<endl;
	    if (F2 < OldF && Dy < 0.0) {
	      // On essaye de progresser dans cette direction.
	      SolSave = Sol;
	      OldF = F2;
	      for( i = Sol.Lower(); i <= Sol.Upper(); i++) {
		Sol(i) = Sol(i) + Ambda * DH(i);
	      }
	      Sortbis = Bounds(InfBound, SupBound, Tol, Sol, SolSave,
			       Constraints, Delta );     
	    }
	    DHSave = GH;
//	    F_Dir.Value(Sol, FF, DF, GH, F2, Gnr1);
	    if(!F_Dir.Value(Sol, FF, DF, GH, F2, Gnr1)) {
	      Done = Standard_False;
	      State = F.GetStateNumber();
	      return;
	    }
	    Ambda2 = Gnr1;
	    Dy = GH*DH;
	    Stop = ((Dy >=0) || (DescenteIter >= 10) || Sortbis);
	  }
	  Stop = ((Dy >=0) || (DescenteIter >= 10));
	}
	if (((F2/PreviousMinimum > Progres) &&
	     (F2>=OldF))||(F2>=PreviousMinimum)) {
	  // On minimise par Brent
	  DescenteIter++;
	  Good = MinimizeDirection(SolSave, Delta, OldF, F2,  
				   DHSave, GH, Tol, F_Dir);
	  if (!Good) {
	    Sol = SolSave;
	  }
	  else {
	    Sol = SolSave + Delta;
	  }
	  Sort = Bounds(InfBound, SupBound, Tol, Sol, SolSave,
			Constraints, Delta);
//	  F_Dir.Value(Sol, FF, DF, GH, F2, Gnr1);
	  if(!F_Dir.Value(Sol, FF, DF, GH, F2, Gnr1)) {
	    Done = Standard_False;
	    State = F.GetStateNumber();
	    return;
	  }
	  Dy = GH*DH;
	}	
	if (mydebug) {
	  cout << "--- Sortie du Traitement des Bords"<<endl;
	  cout << "--- DescenteIter = "<<DescenteIter << " F2 = " << F2 << endl;
	}      
      }
    }

    // ---------------------------------------------
    //  on passe aux tests d'ARRET
    // ---------------------------------------------
    Save(Kount) = F2; 
    // Est ce la solution ?
    if (ChangeDirection) Verif = Standard_True;
                        // Gradient : Il faut eviter de boucler
    else {
      Verif = Standard_False;
      if (Kount > 1) { // Pour accelerer les cas quasi-quadratique
	if (Save(Kount-1)<1.e-4*Save(Kount-2)) Verif = Standard_True;
      }
      else Verif = (F2 < 1.e-6*Save(0)); //Pour les cas dejas solutions
    }
    if (Verif) {
      for(i = Delta.Lower(); i <= Delta.Upper(); i++) {
	Delta(i) = PreviousSolution(i) - Sol(i);
      }
      if (IsSolutionReached(F)) {
	if (PreviousMinimum < F2) {
	  Sol = SolSave;
	}
	State = F.GetStateNumber();
	Done = Standard_True;
	return;
      }
    }
    //fin du test solution
   
    // Analyse de la progression...
    if (F2 < PreviousMinimum) { 
      if (Kount > 5) {
	// L'historique est il bon ?
	if (F2 >= 0.95*Save(Kount - 5)) {
	  if (!ChangeDirection) ChangeDirection = Standard_True;
	  else return; //  si un gain inf a 5% on sort
	}
	else ChangeDirection = Standard_False; //Si oui on recommence
      }
      else  ChangeDirection = Standard_False; //Pas d'historique on continue
      // Si le gradient ne diminue pas suffisemment par newton on essaie
      // le gradient sauf si f diminue (aussi bizarre que cela puisse 
      // paraitre avec NEWTON le gradient de f peut augmenter alors que f 
      // diminue: dans ce cas il faut garder NEWTON)
      if ((Gnr1 > 0.9*Oldgr) && 
	  (F2 > 0.5*PreviousMinimum)) {
	ChangeDirection = Standard_True;
      }

      // Si l'on ne decide pas de changer de strategie, on verifie,
      // si ce n'est dejas fait     
      if ((!ChangeDirection) && (!Verif)) {
	for(i = Delta.Lower(); i <= Delta.Upper(); i++) {
	  Delta(i) = PreviousSolution(i) - Sol(i);
	}
	if (IsSolutionReached(F)) {
	  Done = Standard_True;
	  State = F.GetStateNumber();
	  return;
	}
      }
    } 
    else { // Cas de regression
      if (!ChangeDirection) { // On passe au gradient
	ChangeDirection = Standard_True;
	Sol = PreviousSolution;
//	F_Dir.Value(Sol, FF, DF, GH, F2, Gnr1);
	if(!F_Dir.Value(Sol, FF, DF, GH, F2, Gnr1)) {
	  Done = Standard_False;
	  State = F.GetStateNumber();
	  return;
	}
      }
      else return; // y a plus d'issues
    }
  }
}




Standard_Boolean math_FunctionSetRoot::IsSolutionReached(math_FunctionSetWithDerivatives& ) {
   for(Standard_Integer i = 1; i<= Sol.Length(); i++) {
     if(Abs(Delta(i)) > Tol(i)) {return Standard_False;}
   }
   return Standard_True;
}


void math_FunctionSetRoot::Dump(Standard_OStream& o) const {
   o<<" math_FunctionSetRoot";
   if (Done) {
     o << " Status = Done\n";
     o << " Location value = " << Sol << "\n";
     o << " Number of iterations = " << Kount << "\n";
   }
   else {
     o<<"Status = Not Done\n";
   }
}


void math_FunctionSetRoot::Root(math_Vector& Root) const{
  StdFail_NotDone_Raise_if(!Done, " ");
  Standard_DimensionError_Raise_if(Root.Length() != Sol.Length(), " ");
  Root = Sol;
}


void math_FunctionSetRoot::FunctionSetErrors(math_Vector& Err) const{
  StdFail_NotDone_Raise_if(!Done, " ");
  Standard_DimensionError_Raise_if(Err.Length() != Sol.Length(), " ");
  Err = Delta;
}