55 ClassImp(TQpProbDens);
60 TQpProbDens::TQpProbDens(Int_t nx,Int_t my,Int_t mz) :
64 R__ASSERT(nx-my-mz > 0);
71 TQpProbDens::TQpProbDens(
const TQpProbDens &another) : TQpProbBase(another)
80 TQpDataBase *TQpProbDens::MakeData(Double_t *c,
82 Double_t *xlo,Bool_t *ixlo,
83 Double_t *xup,Bool_t *ixup,
84 Double_t *A, Double_t *bA,
86 Double_t *clo,Bool_t *iclo,
87 Double_t *cup,Bool_t *icup)
89 TVectorD vc ; vc .Use(fNx,c);
90 TMatrixDSym mQ ; mQ .Use(fNx,Q);
91 TVectorD vxlo; vxlo.Use(fNx,xlo);
92 TVectorD vxup; vxup.Use(fNx,xup);
110 for (Int_t ix = 0; ix < fNx; ix++) {
111 vixlo[ix] = (ixlo[ix]) ? 1.0 : 0.0;
112 vixup[ix] = (ixup[ix]) ? 1.0 : 0.0;
117 for (Int_t ic = 0; ic < fMz; ic++) {
118 viclo[ic] = (iclo[ic]) ? 1.0 : 0.0;
119 vicup[ic] = (icup[ic]) ? 1.0 : 0.0;
122 TQpDataDens *data =
new TQpDataDens(vc,mQ,vxlo,vixlo,vxup,vixup,mA,vbA,mC,vclo,
132 TQpDataBase *TQpProbDens::MakeData(TVectorD &c,
134 TVectorD &xlo, TVectorD &ixlo,
135 TVectorD &xup, TVectorD &ixup,
136 TMatrixDBase &A_in,TVectorD &bA,
138 TVectorD &clo, TVectorD &iclo,
139 TVectorD &cup, TVectorD &icup)
141 TMatrixDSym &mQ = (TMatrixDSym &) Q_in;
142 TMatrixD &mA = (TMatrixD &) A_in;
143 TMatrixD &mC = (TMatrixD &) C_in;
145 R__ASSERT(mQ.GetNrows() == fNx && mQ.GetNcols() == fNx);
146 if (fMy > 0) R__ASSERT(mA.GetNrows() == fMy && mA.GetNcols() == fNx);
147 else R__ASSERT(mA.GetNrows() == fMy);
148 if (fMz > 0) R__ASSERT(mC.GetNrows() == fMz && mC.GetNcols() == fNx);
149 else R__ASSERT(mC.GetNrows() == fMz);
151 R__ASSERT(c.GetNrows() == fNx);
152 R__ASSERT(xlo.GetNrows() == fNx);
153 R__ASSERT(ixlo.GetNrows() == fNx);
154 R__ASSERT(xup.GetNrows() == fNx);
155 R__ASSERT(ixup.GetNrows() == fNx);
157 R__ASSERT(bA.GetNrows() == fMy);
158 R__ASSERT(clo.GetNrows() == fMz);
159 R__ASSERT(iclo.GetNrows() == fMz);
160 R__ASSERT(cup.GetNrows() == fMz);
161 R__ASSERT(icup.GetNrows() == fMz);
163 TQpDataDens *data =
new TQpDataDens(c,mQ,xlo,ixlo,xup,ixup,mA,bA,mC,clo,iclo,cup,icup);
172 TQpResidual* TQpProbDens::MakeResiduals(
const TQpDataBase *data_in)
174 TQpDataDens *data = (TQpDataDens *) data_in;
175 return new TQpResidual(fNx,fMy,fMz,data->fXloIndex,data->fXupIndex,data->fCloIndex,data->fCupIndex);
182 TQpVar* TQpProbDens::MakeVariables(
const TQpDataBase *data_in)
184 TQpDataDens *data = (TQpDataDens *) data_in;
186 return new TQpVar(fNx,fMy,fMz,data->fXloIndex,data->fXupIndex,data->fCloIndex,data->fCupIndex);
193 TQpLinSolverBase* TQpProbDens::MakeLinSys(
const TQpDataBase *data_in)
195 TQpDataDens *data = (TQpDataDens *) data_in;
196 return new TQpLinSolverDens(
this,data);
207 void TQpProbDens::JoinRHS(TVectorD &rhs,TVectorD &rhs1_in,TVectorD &rhs2_in,TVectorD &rhs3_in)
209 rhs.SetSub(0,rhs1_in);
210 if (fMy > 0) rhs.SetSub(fNx, rhs2_in);
211 if (fMz > 0) rhs.SetSub(fNx+fMy,rhs3_in);
222 void TQpProbDens::SeparateVars(TVectorD &x_in,TVectorD &y_in,TVectorD &z_in,TVectorD &vars_in)
224 x_in = vars_in.GetSub(0,fNx-1);
225 if (fMy > 0) y_in = vars_in.GetSub(fNx, fNx+fMy-1);
226 if (fMz > 0) z_in = vars_in.GetSub(fNx+fMy,fNx+fMy+fMz-1);
233 void TQpProbDens::MakeRandomData(TQpDataDens *&data,TQpVar *&soln,Int_t ,Int_t ,Int_t )
235 data =
new TQpDataDens(fNx,fMy,fMz);
236 soln = this->MakeVariables(data);
237 data->DataRandom(soln->fX,soln->fY,soln->fZ,soln->fS);
244 TQpProbDens &TQpProbDens::operator=(
const TQpProbDens &source)
246 if (
this != &source) {
247 TQpProbBase::operator=(source);