numericaldifferentiation.hpp

/* -*- mode: c++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */
 
/*
 Copyright (C) 2015 Klaus Spanderen
 
 This file is part of QuantLib, a free-software/open-source library
 for financial quantitative analysts and developers - http://quantlib.org/
 
 QuantLib is free software: you can redistribute it and/or modify it
 under the terms of the QuantLib license.  You should have received a
 copy of the license along with this program; if not, please email
 <quantlib-dev@lists.sf.net>. The license is also available online at
 <http://quantlib.org/license.shtml>.
 
 This program is distributed in the hope that it will be useful, but WITHOUT
 ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
 FOR A PARTICULAR PURPOSE.  See the license for more details.
*/
 
#ifndef quantlib_numerical_differentiation_hpp
#define quantlib_numerical_differentiation_hpp
 
#include <ql/math/array.hpp>
#include <ql/functional.hpp>
 
namespace QuantLib {
 
 
    class NumericalDifferentiation {
      public:
        QL_DEPRECATED
        typedef Real argument_type;
 
        QL_DEPRECATED
        typedef Real result_type;
 
        enum Scheme { Central, Backward, Forward };
 
        NumericalDifferentiation(ext::function<Real(Real)> f,
                                 Size orderOfDerivative,
                                 Array x_offsets);
 
        NumericalDifferentiation(ext::function<Real(Real)> f,
                                 Size orderOfDerivative,
                                 Real stepSize,
                                 Size steps,
                                 Scheme scheme);
 
        Real operator()(Real x) const;
        const Array& offsets() const;
        const Array& weights() const;
 
      private:
        const Array offsets_, w_;
        const ext::function<Real(Real)> f_;
    };
 
 
    inline Real NumericalDifferentiation::operator()(Real x) const {
        Real s = 0.0;
        for (Size i=0; i < w_.size(); ++i) {
            if (std::fabs(w_[i]) > QL_EPSILON*QL_EPSILON) {
                s += w_[i] * f_(x+offsets_[i]);
            }
        }
        return s;
    }
 
    inline const Array& NumericalDifferentiation::weights() const {
        return w_;
    }
 
    inline const Array& NumericalDifferentiation::offsets() const {
        return offsets_;
    }
}
 
 
#endif