44 #ifndef ROL_MOREAUYOSIDACVAR_HPP 45 #define ROL_MOREAUYOSIDACVAR_HPP 115 Real zero(0), one(1);
116 TEUCHOS_TEST_FOR_EXCEPTION((prob_ <= zero) || (prob_ >= one), std::invalid_argument,
117 ">>> ERROR (ROL::MoreauYosidaCVaR): Confidence level must be between 0 and 1!");
118 TEUCHOS_TEST_FOR_EXCEPTION((eps_ <= zero), std::invalid_argument,
119 ">>> ERROR (ROL::MoreauYosidaCVaR): Smoothing parameter must be positive!");
151 Teuchos::ParameterList& list
152 = parlist.sublist(
"SOL").sublist(
"Risk Measure").sublist(
"Moreau-Yosida CVaR");
153 prob_ = list.get<Real>(
"Confidence Level");
154 eps_ = list.get<Real>(
"Smoothing Parameter");
160 Real zero(0), one(1);
161 Real X = ((deriv==0) ? x : ((deriv==1) ? one : zero));
162 return regret(x,deriv) - X;
166 Real zero(0), half(0.5), one(1), reg(0);
170 else if ( x >= ub_ ) {
171 reg = ((deriv == 0) ? (x-half*ub_)/
omp_ 172 : ((deriv == 1) ? one/omp_ : zero));
175 reg = ((deriv == 0) ? half/eps_*x*x
176 : ((deriv == 1) ? x/
eps_ : one/
eps_));
183 Real zero(0), one(1), two(2), p1(0.1);
186 Real vx = zero, vy = zero;
191 std::cout << std::right << std::setw(20) <<
"CHECK REGRET: v'(eps) is correct? \n";
192 std::cout << std::right << std::setw(20) <<
"t" 193 << std::setw(20) <<
"v'(x)" 194 << std::setw(20) <<
"(v(x+t)-v(x-t))/2t" 195 << std::setw(20) <<
"Error" 197 for (
int i = 0; i < 13; i++) {
200 diff = (vy-vx)/(two*t);
201 err = std::abs(diff-dv);
202 std::cout << std::scientific << std::setprecision(11) << std::right
203 << std::setw(20) << t
204 << std::setw(20) << dv
205 << std::setw(20) << diff
206 << std::setw(20) << err
218 std::cout << std::right << std::setw(20) <<
"CHECK REGRET: v''(eps) is correct? \n";
219 std::cout << std::right << std::setw(20) <<
"t" 220 << std::setw(20) <<
"v''(x)" 221 << std::setw(20) <<
"(v'(x+t)-v'(x-t))/2t" 222 << std::setw(20) <<
"Error" 224 for (
int i = 0; i < 13; i++) {
227 diff = (vy-vx)/(two*t);
228 err = std::abs(diff-dv);
229 std::cout << std::scientific << std::setprecision(11) << std::right
230 << std::setw(20) << t
231 << std::setw(20) << dv
232 << std::setw(20) << diff
233 << std::setw(20) << err
246 std::cout << std::right << std::setw(20) <<
"CHECK REGRET: v'(0) is correct? \n";
247 std::cout << std::right << std::setw(20) <<
"t" 248 << std::setw(20) <<
"v'(x)" 249 << std::setw(20) <<
"(v(x+t)-v(x-t))/2t" 250 << std::setw(20) <<
"Error" 252 for (
int i = 0; i < 13; i++) {
255 diff = (vy-vx)/(two*t);
256 err = std::abs(diff-dv);
257 std::cout << std::scientific << std::setprecision(11) << std::right
258 << std::setw(20) << t
259 << std::setw(20) << dv
260 << std::setw(20) << diff
261 << std::setw(20) << err
273 std::cout << std::right << std::setw(20) <<
"CHECK REGRET: v''(0) is correct? \n";
274 std::cout << std::right << std::setw(20) <<
"t" 275 << std::setw(20) <<
"v''(x)" 276 << std::setw(20) <<
"(v'(x+t)-v'(x-t))/2t" 277 << std::setw(20) <<
"Error" 279 for (
int i = 0; i < 13; i++) {
282 diff = (vy-vx)/(two*t);
283 err = std::abs(diff-dv);
284 std::cout << std::scientific << std::setprecision(11) << std::right
285 << std::setw(20) << t
286 << std::setw(20) << dv
287 << std::setw(20) << diff
288 << std::setw(20) << err
301 std::cout << std::right << std::setw(20) <<
"CHECK REGRET: v'(-eps) is correct? \n";
302 std::cout << std::right << std::setw(20) <<
"t" 303 << std::setw(20) <<
"v'(x)" 304 << std::setw(20) <<
"(v(x+t)-v(x-t))/2t" 305 << std::setw(20) <<
"Error" 307 for (
int i = 0; i < 13; i++) {
310 diff = (vy-vx)/(two*t);
311 err = std::abs(diff-dv);
312 std::cout << std::scientific << std::setprecision(11) << std::right
313 << std::setw(20) << t
314 << std::setw(20) << dv
315 << std::setw(20) << diff
316 << std::setw(20) << err
328 std::cout << std::right << std::setw(20) <<
"CHECK REGRET: v''(-eps) is correct? \n";
329 std::cout << std::right << std::setw(20) <<
"t" 330 << std::setw(20) <<
"v''(x)" 331 << std::setw(20) <<
"(v'(x+t)-v'(x-t))/2t" 332 << std::setw(20) <<
"Error" 334 for (
int i = 0; i < 13; i++) {
337 diff = (vy-vx)/(two*t);
338 err = std::abs(diff-dv);
339 std::cout << std::scientific << std::setprecision(11) << std::right
340 << std::setw(20) << t
341 << std::setw(20) << dv
342 << std::setw(20) << diff
343 << std::setw(20) << err
Provides a general interface for risk measures generated through the expectation risk quadrangle...
virtual void checkRegret(void)
Run default derivative tests for the scalar regret function.
MoreauYosidaCVaR(Teuchos::ParameterList &parlist)
Constructor.
Provides an interface for a smooth approximation of the conditional value-at-risk.
void checkRegret(void)
Run default derivative tests for the scalar regret function.
void checkInputs(void) const
MoreauYosidaCVaR(Real prob, Real eps)
Constructor.
Real error(Real x, int deriv=0)
Real regret(Real x, int deriv=0)
Evaluate the scalar regret function at x.