fvar_ar3.cpp

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

dvar_vector fabs(const dvar_vector& t1)
  {
     gradient_structure* gs = gradient_structure::_instance;
     gs->RETURN_ARRAYS_INCREMENT();

     int min = t1.indexmin();
     int max = t1.indexmax();

     dvar_vector tmp(min, max);
     double_and_int* ptmp = tmp.va + min;
     double_and_int* pt1 = t1.va + min;
     for (int i = min; i <= max; ++i)
     {
       ptmp->x = fabs(pt1->x);
       ++ptmp;
       ++pt1;
     }

     gs->RETURN_ARRAYS_DECREMENT();
     return(tmp);
  }

dvector value(const dvar_vector& t1)
  {
     gradient_structure* gs = gradient_structure::_instance;
     gs->RETURN_ARRAYS_INCREMENT();

     int min = t1.indexmin();
     int max = t1.indexmax();

     dvector tmp(min, max);
     double* ptmp = tmp.get_v() + min;
     double_and_int* pt1 = t1.va + min;
     for (int i = min; i <= max; ++i)
     {
       *ptmp = pt1->x;
       ++ptmp;
       ++pt1;
     }

     gs->RETURN_ARRAYS_DECREMENT();
     return(tmp);
  }

dvariable norm(const dvar_vector& t1)
  {
    gradient_structure* gs = gradient_structure::_instance;
    gs->RETURN_ARRAYS_INCREMENT();
    dvariable tmp;
    tmp=t1*t1;
    if (value(tmp)>0.0)
    {
     tmp=pow(tmp,.5);
    }
    gs->RETURN_ARRAYS_DECREMENT();
    return(tmp);
  }

dvariable norm2(const dvar_vector& t1)
  {
    gradient_structure* gs = gradient_structure::_instance;
    gs->RETURN_ARRAYS_INCREMENT();
    dvariable tmp;
    tmp=t1*t1;
    gs->RETURN_ARRAYS_DECREMENT();
    return(tmp);
  }
dvariable sumsq(const dvar_vector& t1) {return(norm2(t1));}

dvar_vector sfabs(const dvar_vector& t1)
  {
     gradient_structure* gs = gradient_structure::_instance;
     gs->RETURN_ARRAYS_INCREMENT();

     dvar_vector tmp(t1.indexmin(),t1.indexmax());

     for (int i=t1.indexmin(); i<=t1.indexmax(); i++)
     {
       tmp.elem(i)=sfabs(t1.elem(i));
     }
     gs->RETURN_ARRAYS_DECREMENT();
     return(tmp);
  }