本文整理汇总了C++中TBox::InsideBox方法的典型用法代码示例。如果您正苦于以下问题：C++ TBox::InsideBox方法的具体用法？C++ TBox::InsideBox怎么用？C++ TBox::InsideBox使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类TBox的用法示例。
在下文中一共展示了TBox::InsideBox方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: local
int local(Trial &T, TBox &box, TBox &domain, double eps_cl, double *mgr,
Global &glob, int axis, RCRVector x_av
#ifdef NLOPT_UTIL_H
, nlopt_stopping *stop
#endif
) {
int n=box.GetDim();
RVector x(n);
double tmp, f;
x=T.xvals ;
#ifdef LS_DEBUG
cout << "Local Search, x=" << x << endl;
#endif
if (box.OutsideBox(x, domain) != 0) {
cout << "Starting point is not inside the boundary. Exiting...\n" ;
exit(1) ;
return LS_Out ;
}
// Check if we are close to a stationary point located previously
if (box.CloseToMin(x, &tmp, eps_cl)) {
#ifdef LS_DEBUG
cout << "Close to a previously located stationary point, exiting" << endl;
#endif
T.objval=tmp;
return LS_Old ;
}
#if 0
if (axis != -1) {
cout << "NLopt code only works with axis == -1, exiting...\n" ;
exit(EXIT_FAILURE);
}
f_local_data data;
data.glob = &glob;
data.maxgrad = *mgr;
data.stop = stop;
nlopt_result ret = nlopt_minimize(NLOPT_LOCAL_LBFGS, n, f_local, &data,
box.lb.raw_data(), box.ub.raw_data(),
x.raw_data(), &f,
stop->minf_max,
stop->ftol_rel, stop->ftol_abs,
stop->xtol_rel, stop->xtol_abs,
stop->maxeval - stop->nevals,
stop->maxtime - stop->start);
*mgr = data.maxgrad;
T.xvals=x ; T.objval=f ;
if (ret == NLOPT_MAXEVAL_REACHED || ret == NLOPT_MAXTIME_REACHED)
return LS_MaxEvalTime;
else if (ret > 0)
return LS_New;
else
return LS_Out; // failure
#else /* not using NLopt local optimizer ... use original STOgo BFGS code */
int k_max, info, outside = 0;
int k, i, good_enough, iTmp ;
double maxgrad, delta, f_new;
double alpha, gamma, beta, d2, s2, nom, den, ro ;
double nrm_sd, nrm_hn, snrm_hn, nrm_dl ;
RVector g(n), h_sd(n), h_dl(n), h_n(n), x_new(n), g_new(n) ;
RVector s(n),y(n),z(n),w(n) ; // Temporary vectors
RMatrix B(n), H(n) ; // Hessian and it's inverse
k_max = max_iter*n ;
// Initially B and H are equal to the identity matrix
B=0 ; H=0 ;
for (i=0 ; i<n ; i++) {
B(i,i)=1 ;
H(i,i)=1 ;
}
RVector g_av(x_av.GetLength());
if (axis==-1) {
f=glob.ObjectiveGradient(x,g,OBJECTIVE_AND_GRADIENT);
}
else {
x_av(axis)=x(0);
f=glob.ObjectiveGradient(x_av,g_av,OBJECTIVE_AND_GRADIENT);
g(0)=g_av(axis);
}
IF_NLOPT_CHECK_EVALS;
FC++;GC++;
if (axis == -1) {
// Skipping AV
#ifdef INI3
// Elaborate scheme to initalize delta
delta=delta_coef*norm2(g) ;
copy(g,z) ;
axpy(1.0,x,z) ;
if (!box.InsideBox(z)) {
//.........这里部分代码省略.........