ROL
ROL_Chi2Divergence.hpp
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43 
44 #ifndef ROL_CHI2DIVERGENCE_HPP
45 #define ROL_CHI2DIVERGENCE_HPP
46 
47 #include "ROL_FDivergence.hpp"
48 
70 namespace ROL {
71 
72 template<class Real>
73 class Chi2Divergence : public FDivergence<Real> {
74 
75 public:
80  Chi2Divergence(const Real thresh) : FDivergence<Real>(thresh) {}
81 
90  Chi2Divergence(ROL::ParameterList &parlist) : FDivergence<Real>(parlist) {}
91 
92  Real Fprimal(Real x, int deriv = 0) {
93  Real zero(0), one(1), half(0.5), val(0);
94  if (deriv==0) {
95  val = (x < zero) ? ROL_INF<Real>() : half*(x-one)*(x-one);
96  }
97  else if (deriv==1) {
98  val = (x < zero) ? ROL_INF<Real>() : x-one;
99  }
100  else if (deriv==2) {
101  val = (x < zero) ? ROL_INF<Real>() : one;
102  }
103  else {
104  ROL_TEST_FOR_EXCEPTION(true,std::invalid_argument,
105  ">>> (ROL::Chi2Divergence): Derivative order must be 0, 1, or 2!");
106  }
107  return val;
108  }
109 
110  Real Fdual(Real x, int deriv = 0) {
111  Real zero(0), one(1), half(0.5), val(0);
112  if (deriv==0) {
113  val = (x < -one) ? -half : (half*x + one)*x;
114  }
115  else if (deriv==1) {
116  val = (x < -one) ? zero : x + one;
117  }
118  else if (deriv==2) {
119  val = (x < -one) ? zero : one;
120  }
121  else {
122  ROL_TEST_FOR_EXCEPTION(true,std::invalid_argument,
123  ">>> (ROL::Chi2Divergence): Derivative order must be 0, 1, or 2!");
124  }
125  return val;
126  }
127 };
128 
129 }
130 
131 #endif
Real Fprimal(Real x, int deriv=0)
Implementation of the scalar primal F function.
Real Fdual(Real x, int deriv=0)
Implementation of the scalar dual F function.
Provides an interface for the chi-squared-divergence distributionally robust expectation.
Objective_SerialSimOpt(const Ptr< Obj > &obj, const V &ui) z0_ zero()
Chi2Divergence(const Real thresh)
Constructor.
Provides a general interface for the F-divergence distributionally robust expectation.
Chi2Divergence(ROL::ParameterList &parlist)
Constructor.