/src/quantlib/ql/math/optimization/linesearch.hpp
Line | Count | Source (jump to first uncovered line) |
1 | | /* -*- mode: c++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */ |
2 | | |
3 | | /* |
4 | | Copyright (C) 2006 Ferdinando Ametrano |
5 | | Copyright (C) 2001, 2002, 2003 Nicolas Di Césaré |
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 linesearch.hpp |
22 | | \brief Line search abstract class |
23 | | */ |
24 | | |
25 | | #ifndef quantlib_optimization_line_search_h_ |
26 | | #define quantlib_optimization_line_search_h_ |
27 | | |
28 | | #include <ql/math/array.hpp> |
29 | | #include <ql/math/optimization/endcriteria.hpp> |
30 | | |
31 | | namespace QuantLib { |
32 | | |
33 | | class Problem; |
34 | | class Constraint; |
35 | | class EndCriteria; |
36 | | |
37 | | //! Base class for line search |
38 | | class LineSearch { |
39 | | public: |
40 | | //! Default constructor |
41 | 0 | explicit LineSearch(Real = 0.0) {} |
42 | | //! Destructor |
43 | 0 | virtual ~LineSearch() = default; |
44 | | |
45 | | //! return last x value |
46 | 0 | const Array& lastX() { return xtd_; } |
47 | | //! return last cost function value |
48 | 0 | Real lastFunctionValue() const { return qt_; } |
49 | | //! return last gradient |
50 | 0 | const Array& lastGradient() { return gradient_; } |
51 | | //! return square norm of last gradient |
52 | 0 | Real lastGradientNorm2() const { return qpt_; } |
53 | | |
54 | 0 | bool succeed() const { return succeed_; } |
55 | | |
56 | | //! Perform line search |
57 | | virtual Real operator()(Problem& P, // Optimization problem |
58 | | EndCriteria::Type& ecType, |
59 | | const EndCriteria&, |
60 | | Real t_ini) = 0; // initial value of line-search step |
61 | | Real update(Array& params, |
62 | | const Array& direction, |
63 | | Real beta, |
64 | | const Constraint& constraint); |
65 | | |
66 | | //! current value of the search direction |
67 | 0 | const Array& searchDirection() const { return searchDirection_; } |
68 | 0 | Array& searchDirection() { return searchDirection_; } |
69 | | protected: |
70 | | //! current values of the search direction |
71 | | Array searchDirection_; |
72 | | //! new x and its gradient |
73 | | Array xtd_, gradient_; |
74 | | //! cost function value and gradient norm corresponding to xtd_ |
75 | | Real qt_ = 0.0, qpt_ = 0.0; |
76 | | //! flag to know if linesearch succeed |
77 | | bool succeed_ = true; |
78 | | }; |
79 | | } |
80 | | |
81 | | #endif |