File: falseposition.cpp

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/*
 Copyright (C) 2000, 2001, 2002 RiskMap srl

 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 ferdinando@ametrano.net
 The license is also available online at http://quantlib.org/html/license.html

 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.
*/
/*! \file falseposition.cpp
    \brief false-position 1-D solver

    \fullpath
    ql/Solvers1D/%falseposition.cpp
*/

// $Id: falseposition.cpp,v 1.5 2002/01/16 14:41:17 nando Exp $

/* The implementation of the algorithm was inspired by
 * "Numerical Recipes in C", 2nd edition, Press, Teukolsky, Vetterling, Flannery
 * Chapter 9
 */


#include <ql/Solvers1D/falseposition.hpp>

namespace QuantLib {

    namespace Solvers1D {

        double FalsePosition::solve_(const ObjectiveFunction& f,
                                     double xAccuracy) const {

            double fl, fh, xl, xh, dx, del, froot;

            // Identify the limits so that xl corresponds to the low side
            if (fxMin_ < 0.0) {
                xl=xMin_;
                fl = fxMin_;
                xh=xMax_;
                fh = fxMax_;
            } else {
                xl=xMax_;
                fl = fxMax_;
                xh=xMin_;
                fh = fxMin_;
            }
            dx=xh-xl;
            while (evaluationNumber_<=maxEvaluations_) {  // False position loop
                // Increment with respect to latest value
                root_=xl+dx*fl/(fl-fh);
                froot=f(root_);
                evaluationNumber_++;
                if (froot < 0.0) {              // Replace appropriate limit
                    del=xl-root_;
                    xl=root_;
                    fl=froot;
                } else {
                    del=xh-root_;
                    xh=root_;
                    fh=froot;
                }
                dx=xh-xl;
                // Convergence criterion
               if (QL_FABS(del) < xAccuracy || froot == 0.0)  {
                   return root_;
               }
            }

            throw Error("FalsePosition: maximum number of "
                        "function evaluations (" +
                        IntegerFormatter::toString(maxEvaluations_) +
                        ") exceeded");
            QL_DUMMY_RETURN(0.0);
        }

    }

}