ROL
ROL_BPOEObjective.hpp
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43 
44 #ifndef ROL_BPOEOBJECTIVE_HPP
45 #define ROL_BPOEOBJECTIVE_HPP
46 
48 #include "ROL_BPOE.hpp"
49 
50 namespace ROL {
51 
52 template<class Real>
53 class BPOEObjective : public Objective<Real> {
54 private:
55  Teuchos::RCP<RiskMeasure<Real> > bpoe_;
56  Teuchos::RCP<Objective<Real> > riskObj_;
57 
58 public:
59  BPOEObjective( const Teuchos::RCP<Objective<Real> > &pObj,
60  const Real order, const Real threshold,
61  const Teuchos::RCP<SampleGenerator<Real> > &vsampler,
62  const Teuchos::RCP<SampleGenerator<Real> > &gsampler,
63  const Teuchos::RCP<SampleGenerator<Real> > &hsampler,
64  const bool storage = true ) {
65  bpoe_ = Teuchos::rcp(new BPOE<Real>(threshold,order));
66  riskObj_ = Teuchos::rcp(new RiskAverseObjective<Real>(pObj,bpoe_,vsampler,gsampler,hsampler,storage));
67  }
68 
69  BPOEObjective( const Teuchos::RCP<Objective<Real> > &pObj,
70  const Real order, const Real threshold,
71  const Teuchos::RCP<SampleGenerator<Real> > &vsampler,
72  const Teuchos::RCP<SampleGenerator<Real> > &gsampler,
73  const bool storage = true ) {
74  bpoe_ = Teuchos::rcp(new BPOE<Real>(threshold,order));
75  riskObj_ = Teuchos::rcp(new RiskAverseObjective<Real>(pObj,bpoe_,vsampler,gsampler,storage));
76  }
77 
78  BPOEObjective( const Teuchos::RCP<Objective<Real> > &pObj,
79  const Real order, const Real threshold,
80  const Teuchos::RCP<SampleGenerator<Real> > &sampler,
81  const bool storage = true ) {
82  bpoe_ = Teuchos::rcp(new BPOE<Real>(threshold,order));
83  riskObj_ = Teuchos::rcp(new RiskAverseObjective<Real>(pObj,bpoe_,sampler,storage));
84  }
85 
86  void update( const Vector<Real> &x, bool flag = true, int iter = -1 ) {
87  riskObj_->update(x,flag,iter);
88  }
89 
90  Real value( const Vector<Real> &x, Real &tol ) {
91  return riskObj_->value(x,tol);
92  }
93 
94  void gradient( Vector<Real> &g, const Vector<Real> &x, Real &tol ) {
95  riskObj_->gradient(g,x,tol);
96  }
97 
98  void hessVec( Vector<Real> &hv, const Vector<Real> &v,
99  const Vector<Real> &x, Real &tol ) {
100  riskObj_->hessVec(hv,v,x,tol);
101  }
102 
103  virtual void precond( Vector<Real> &Pv, const Vector<Real> &v,
104  const Vector<Real> &x, Real &tol ) {
105  riskObj_->precond(Pv,v,x,tol);
106  }
107 };
108 
109 }
110 
111 #endif
Provides the interface to evaluate objective functions.
void gradient(Vector< Real > &g, const Vector< Real > &x, Real &tol)
Compute gradient.
Provides the implementation of the buffered probability of exceedance.
Definition: ROL_BPOE.hpp:66
void update(const Vector< Real > &x, bool flag=true, int iter=-1)
Update objective function.
BPOEObjective(const Teuchos::RCP< Objective< Real > > &pObj, const Real order, const Real threshold, const Teuchos::RCP< SampleGenerator< Real > > &vsampler, const Teuchos::RCP< SampleGenerator< Real > > &gsampler, const Teuchos::RCP< SampleGenerator< Real > > &hsampler, const bool storage=true)
Teuchos::RCP< Objective< Real > > riskObj_
virtual void precond(Vector< Real > &Pv, const Vector< Real > &v, const Vector< Real > &x, Real &tol)
Apply preconditioner to vector.
Teuchos::RCP< RiskMeasure< Real > > bpoe_
Defines the linear algebra or vector space interface.
Definition: ROL_Vector.hpp:76
BPOEObjective(const Teuchos::RCP< Objective< Real > > &pObj, const Real order, const Real threshold, const Teuchos::RCP< SampleGenerator< Real > > &sampler, const bool storage=true)
void hessVec(Vector< Real > &hv, const Vector< Real > &v, const Vector< Real > &x, Real &tol)
Apply Hessian approximation to vector.
Real value(const Vector< Real > &x, Real &tol)
Compute value.
BPOEObjective(const Teuchos::RCP< Objective< Real > > &pObj, const Real order, const Real threshold, const Teuchos::RCP< SampleGenerator< Real > > &vsampler, const Teuchos::RCP< SampleGenerator< Real > > &gsampler, const bool storage=true)