minim.cpp

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/*
 * $Id$
 *
 * Author: David Fournier
 * Copyright (c) 2008-2012 Regents of the University of California
 */
#include <fvar.hpp>

double fmm::minimize(const independent_variables & x,
  double (*pf)(const dvar_vector&))
{
  double f = 0.0;

  int nvar=x.size();
  dvector g(1,nvar);
#ifndef SAFE_INITIALIZE
  g.initialize();
#endif
  {
    gradient_structure gs;
    while (ireturn >= 0)
    {
      fmin(f,x,g);
      if(ireturn > 0)
      {
        {
          f=(*pf)(x);
        }
        gradcalc(nvar,g);
      }
    }
  }
  return f;
}