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Reference Guide
TQpLinSolverBase.h
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1 // @(#)root/quadp:$Id$
2 // Author: Eddy Offermann May 2004
3 
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24  * Mathematics and Computer Science Division *
25  * Argonne National Laboratory *
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42 
43 #ifndef ROOT_TQpLinSolverBase
44 #define ROOT_TQpLinSolverBase
45 
46 #include "TError.h"
47 
48 #include "TQpVar.h"
49 #include "TQpDataBase.h"
50 #include "TQpResidual.h"
51 #include "TQpProbBase.h"
52 
53 #include "TMatrixD.h"
54 
55 ///////////////////////////////////////////////////////////////////////////
56 // //
57 // Implements the main solver for linear systems that arise in //
58 // primal-dual interior-point methods for QP . This class contains //
59 // definitions of methods and data common to the sparse and dense //
60 // special cases of the general formulation. The derived classes contain //
61 // the aspects that are specific to the sparse and dense forms. //
62 // //
63 ///////////////////////////////////////////////////////////////////////////
64 
65 class TQpProbBase;
66 class TQpLinSolverBase : public TObject
67 {
68 
69 protected:
70 
71  TVectorD fNomegaInv; // stores a critical diagonal matrix as a vector
72  TVectorD fRhs; // right-hand side of the system
73 
74  Int_t fNx; // dimensions of the vectors in the general QP formulation
77 
78  TVectorD fDd; // temporary storage vectors
80 
81  TVectorD fXupIndex; // index matrices for the upper and lower bounds on x and Cx
85 
86  Int_t fNxup; // dimensions of the upper and lower bound vectors
90 
92 
93 public:
96  TQpLinSolverBase(const TQpLinSolverBase &another);
97 
98  virtual ~TQpLinSolverBase() {}
99 
100  virtual void Factor (TQpDataBase *prob,TQpVar *vars);
101  // sets up the matrix for the main linear system in
102  // "augmented system" form. The actual factorization is
103  // performed by a routine specific to either the sparse
104  // or dense case
105  virtual void Solve (TQpDataBase *prob,TQpVar *vars,TQpResidual *resids,TQpVar *step);
106  // solves the system for a given set of residuals.
107  // Assembles the right-hand side appropriate to the
108  // matrix factored in factor, solves the system using
109  // the factorization produced there, partitions the
110  // solution vector into step components, then recovers
111  // the step components eliminated during the block
112  // elimination that produced the augmented system form
113  virtual void JoinRHS (TVectorD &rhs, TVectorD &rhs1,TVectorD &rhs2,TVectorD &rhs3);
114  // assembles a single vector object from three given vectors
115  // rhs (output) final joined vector
116  // rhs1 (input) first part of rhs
117  // rhs2 (input) middle part of rhs
118  // rhs3 (input) last part of rhs
119  virtual void SeparateVars (TVectorD &vars1,TVectorD &vars2,TVectorD &vars3,TVectorD &vars);
120  // extracts three component vectors from a given aggregated
121  // vector.
122  // vars (input) aggregated vector
123  // vars1 (output) first part of vars
124  // vars2 (output) middle part of vars
125  // vars3 (output) last part of vars
126 
127  virtual void SolveXYZS (TVectorD &stepx,TVectorD &stepy,TVectorD &stepz,TVectorD &steps,
128  TVectorD &ztemp,TQpDataBase *data);
129  // assemble right-hand side of augmented system and call
130  // SolveCompressed to solve it
131 
132  virtual void SolveCompressed (TVectorD &rhs) = 0;
133  // perform the actual solve using the factors produced in
134  // factor.
135  // rhs on input contains the aggregated right-hand side of
136  // the augmented system; on output contains the solution in
137  // aggregated form
138 
139  virtual void PutXDiagonal (TVectorD &xdiag) = 0;
140  // places the diagonal resulting from the bounds on x into
141  // the augmented system matrix
142  virtual void PutZDiagonal (TVectorD& zdiag) = 0;
143  // places the diagonal resulting from the bounds on Cx into
144  // the augmented system matrix
145  virtual void ComputeDiagonals(TVectorD &dd,TVectorD &omega,TVectorD &t, TVectorD &lambda,
147  TVectorD &w, TVectorD &phi);
148  // computes the diagonal matrices in the augmented system
149  // from the current set of variables
150 
152 
153  ClassDef(TQpLinSolverBase,1) // Qp linear solver base class
154 };
155 #endif
TQpLinSolverBase()
Default constructor.
const double pi
int Int_t
Definition: RtypesCore.h:41
TQpProbBase * fFactory
virtual void Solve(TQpDataBase *prob, TQpVar *vars, TQpResidual *resids, TQpVar *step)
Solves the system for a given set of residuals.
virtual void PutXDiagonal(TVectorD &xdiag)=0
#define ClassDef(name, id)
Definition: Rtypes.h:297
virtual void PutZDiagonal(TVectorD &zdiag)=0
virtual void ComputeDiagonals(TVectorD &dd, TVectorD &omega, TVectorD &t, TVectorD &lambda, TVectorD &u, TVectorD &pi, TVectorD &v, TVectorD &gamma, TVectorD &w, TVectorD &phi)
Computes the diagonal matrices in the augmented system from the current set of variables.
double gamma(double x)
SVector< double, 2 > v
Definition: Dict.h:5
virtual void SeparateVars(TVectorD &vars1, TVectorD &vars2, TVectorD &vars3, TVectorD &vars)
Extracts three component vectors from a given aggregated vector.
virtual ~TQpLinSolverBase()
virtual void SolveXYZS(TVectorD &stepx, TVectorD &stepy, TVectorD &stepz, TVectorD &steps, TVectorD &ztemp, TQpDataBase *data)
Assemble right-hand side of augmented system and call SolveCompressed to solve it.
virtual void Factor(TQpDataBase *prob, TQpVar *vars)
Sets up the matrix for the main linear system in "augmented system" form.
Mother of all ROOT objects.
Definition: TObject.h:37
virtual void SolveCompressed(TVectorD &rhs)=0
Definition: TQpVar.h:59
TQpLinSolverBase & operator=(const TQpLinSolverBase &source)
Assignment opeartor.
virtual void JoinRHS(TVectorD &rhs, TVectorD &rhs1, TVectorD &rhs2, TVectorD &rhs3)
Assembles a single vector object from three given vectors .