55 ClassImp(TQpProbSparse);
60 TQpProbSparse::TQpProbSparse(Int_t nx,Int_t my,Int_t mz) :
64 R__ASSERT(nx-my-mz > 0);
71 TQpProbSparse::TQpProbSparse(
const TQpProbSparse &another) : TQpProbBase(another)
80 TQpDataBase *TQpProbSparse::MakeData(Double_t *c,
81 Int_t nnzQ,Int_t *irowQ,Int_t *icolQ,Double_t *Q,
82 Double_t *xlo,Bool_t *ixlo,
83 Double_t *xup,Bool_t *ixup,
84 Int_t nnzA,Int_t *irowA,Int_t *icolA,Double_t *A,
86 Int_t nnzC,Int_t *irowC,Int_t *icolC,Double_t *C,
87 Double_t *clo,Bool_t *iclo,
88 Double_t *cup,Bool_t *icup)
90 TVectorD vc ; vc .Use(fNx,c);
91 TMatrixDSparse mQ ; mQ .Use(fNx,fNx,nnzQ,irowQ,icolQ,Q);
92 TVectorD vxlo; vxlo.Use(fNx,xlo);
93 TVectorD vxup; vxup.Use(fNx,xup);
97 mA .Use(fMy,fNx,nnzA,irowA,icolA,A);
104 mC .Use(fMz,fNx,nnzC,irowC,icolC,C);
111 for (Int_t ix = 0; ix < fNx; ix++) {
112 vixlo[ix] = (ixlo[ix]) ? 1.0 : 0.0;
113 vixup[ix] = (ixup[ix]) ? 1.0 : 0.0;
118 for (Int_t ic = 0; ic < fMz; ic++) {
119 viclo[ic] = (iclo[ic]) ? 1.0 : 0.0;
120 vicup[ic] = (icup[ic]) ? 1.0 : 0.0;
123 TQpDataSparse *data =
new TQpDataSparse(vc,mQ,vxlo,vixlo,vxup,vixup,mA,vbA,mC,vclo,
133 TQpDataBase *TQpProbSparse::MakeData(TVectorD &c,
135 TVectorD &xlo, TVectorD &ixlo,
136 TVectorD &xup, TVectorD &ixup,
137 TMatrixDBase &A_in,TVectorD &bA,
139 TVectorD &clo, TVectorD &iclo,
140 TVectorD &cup, TVectorD &icup)
142 TMatrixDSparse &mQ = (TMatrixDSparse &) Q_in;
143 TMatrixDSparse &mA = (TMatrixDSparse &) A_in;
144 TMatrixDSparse &mC = (TMatrixDSparse &) C_in;
146 R__ASSERT(mQ.GetNrows() == fNx && mQ.GetNcols() == fNx);
147 if (fMy > 0) R__ASSERT(mA.GetNrows() == fMy && mA.GetNcols() == fNx);
148 else R__ASSERT(mA.GetNrows() == fMy);
149 if (fMz > 0) R__ASSERT(mC.GetNrows() == fMz && mC.GetNcols() == fNx);
150 else R__ASSERT(mC.GetNrows() == fMz);
152 R__ASSERT(c.GetNrows() == fNx);
153 R__ASSERT(xlo.GetNrows() == fNx);
154 R__ASSERT(ixlo.GetNrows() == fNx);
155 R__ASSERT(xup.GetNrows() == fNx);
156 R__ASSERT(ixup.GetNrows() == fNx);
158 R__ASSERT(bA.GetNrows() == fMy);
159 R__ASSERT(clo.GetNrows() == fMz);
160 R__ASSERT(iclo.GetNrows() == fMz);
161 R__ASSERT(cup.GetNrows() == fMz);
162 R__ASSERT(icup.GetNrows() == fMz);
164 TQpDataSparse *data =
new TQpDataSparse(c,mQ,xlo,ixlo,xup,ixup,mA,bA,mC,clo,iclo,cup,icup);
173 TQpResidual* TQpProbSparse::MakeResiduals(
const TQpDataBase *data_in)
175 TQpDataSparse *data = (TQpDataSparse *) data_in;
176 return new TQpResidual(fNx,fMy,fMz,data->fXloIndex,data->fXupIndex,data->fCloIndex,data->fCupIndex);
183 TQpVar* TQpProbSparse::MakeVariables(
const TQpDataBase *data_in)
185 TQpDataSparse *data = (TQpDataSparse *) data_in;
187 return new TQpVar(fNx,fMy,fMz,data->fXloIndex,data->fXupIndex,data->fCloIndex,data->fCupIndex);
194 TQpLinSolverBase* TQpProbSparse::MakeLinSys(
const TQpDataBase *data_in)
196 TQpDataSparse *data = (TQpDataSparse *) data_in;
197 return new TQpLinSolverSparse(
this,data);
208 void TQpProbSparse::JoinRHS(TVectorD &rhs,TVectorD &rhs1_in,TVectorD &rhs2_in,TVectorD &rhs3_in)
210 rhs.SetSub(0,rhs1_in);
211 if (fMy > 0) rhs.SetSub(fNx, rhs2_in);
212 if (fMz > 0) rhs.SetSub(fNx+fMy,rhs3_in);
223 void TQpProbSparse::SeparateVars(TVectorD &x_in,TVectorD &y_in,TVectorD &z_in,TVectorD &vars_in)
225 x_in = vars_in.GetSub(0,fNx-1);
226 if (fMy > 0) y_in = vars_in.GetSub(fNx, fNx+fMy-1);
227 if (fMz > 0) z_in = vars_in.GetSub(fNx+fMy,fNx+fMy+fMz-1);
234 void TQpProbSparse::MakeRandomData(TQpDataSparse *&data,TQpVar *&soln,Int_t nnzQ,Int_t nnzA,Int_t nnzC)
236 data =
new TQpDataSparse(fNx,fMy,fMz);
237 soln = this->MakeVariables(data);
238 data->SetNonZeros(nnzQ,nnzA,nnzC);
239 data->DataRandom(soln->fX,soln->fY,soln->fZ,soln->fS);
246 TQpProbSparse &TQpProbSparse::operator=(
const TQpProbSparse &source)
248 if (
this != &source) {
249 TQpProbBase::operator=(source);