/src/quantlib/ql/math/randomnumbers/stochasticcollocationinvcdf.cpp
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1 | | /* -*- mode: c++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */ |
2 | | |
3 | | /* |
4 | | |
5 | | Copyright (C) 2016 Klaus Spanderen |
6 | | |
7 | | This file is part of QuantLib, a free-software/open-source library |
8 | | for financial quantitative analysts and developers - http://quantlib.org/ |
9 | | |
10 | | QuantLib is free software: you can redistribute it and/or modify it |
11 | | under the terms of the QuantLib license. You should have received a |
12 | | copy of the license along with this program; if not, please email |
13 | | <quantlib-dev@lists.sf.net>. The license is also available online at |
14 | | <https://www.quantlib.org/license.shtml>. |
15 | | |
16 | | This program is distributed in the hope that it will be useful, but WITHOUT |
17 | | ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS |
18 | | FOR A PARTICULAR PURPOSE. See the license for more details. |
19 | | */ |
20 | | |
21 | | /*! \file stochasticcollationcdf.cpp |
22 | | */ |
23 | | |
24 | | #include <ql/math/integrals/gaussianquadratures.hpp> |
25 | | #include <ql/math/randomnumbers/stochasticcollocationinvcdf.hpp> |
26 | | #include <ql/mathconstants.hpp> |
27 | | |
28 | | namespace QuantLib { |
29 | | |
30 | | namespace { |
31 | | Array g(Real sigma, const Array& x, |
32 | 0 | const std::function<Real(Real)>& invCDF) { |
33 | |
|
34 | 0 | Array y(x.size()); |
35 | 0 | const CumulativeNormalDistribution normalCDF; |
36 | |
|
37 | 0 | for (Size i=0, n=x.size(); i < n; ++i) { |
38 | 0 | y[i] = invCDF(normalCDF(x[i]/sigma)); |
39 | 0 | } |
40 | |
|
41 | 0 | return y; |
42 | 0 | } |
43 | | } |
44 | | |
45 | | StochasticCollocationInvCDF::StochasticCollocationInvCDF( |
46 | | const std::function<Real(Real)>& invCDF, |
47 | | Size lagrangeOrder, Real pMax, Real pMin) |
48 | 0 | : x_(M_SQRT2*GaussHermiteIntegration(lagrangeOrder).x()), |
49 | 0 | sigma_( (pMax != Null<Real>()) |
50 | 0 | ? x_.back() / InverseCumulativeNormal()(pMax) |
51 | 0 | : (pMin != Null<Real>()) |
52 | 0 | ? Real(x_.front() / InverseCumulativeNormal()(pMin)) |
53 | 0 | : 1.0), |
54 | 0 | y_(g(sigma_, x_, invCDF)), |
55 | 0 | interpl_(x_.begin(), x_.end(), y_.begin()) { |
56 | 0 | } |
57 | | |
58 | 0 | Real StochasticCollocationInvCDF::value(Real x) const { |
59 | 0 | return interpl_(x*sigma_, true); |
60 | 0 | } |
61 | 0 | Real StochasticCollocationInvCDF::operator()(Real u) const { |
62 | 0 | return value(InverseCumulativeNormal()(u)); |
63 | 0 | } |
64 | | } |