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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2009 Thomas Capricelli <orzel@freehackers.org>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen 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 GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
#ifndef EIGEN_NONLINEAR_MATHFUNCTIONS_H
#define EIGEN_NONLINEAR_MATHFUNCTIONS_H
template<typename Functor, typename Scalar>
int ei_hybrd(
Matrix< Scalar, Dynamic, 1 > &x,
Matrix< Scalar, Dynamic, 1 > &fvec,
int &nfev,
Matrix< Scalar, Dynamic, Dynamic > &fjac,
Matrix< Scalar, Dynamic, 1 > &R,
Matrix< Scalar, Dynamic, 1 > &qtf,
Matrix< Scalar, Dynamic, 1 > &diag,
int mode=1,
int nb_of_subdiagonals = -1,
int nb_of_superdiagonals = -1,
int maxfev = 2000,
Scalar factor = Scalar(100.),
Scalar xtol = ei_sqrt(epsilon<Scalar>()),
Scalar epsfcn = Scalar(0.),
int nprint=0
)
{
int n = x.size();
int lr = (n*(n+1))/2;
Matrix< Scalar, Dynamic, 1 > wa1(n), wa2(n), wa3(n), wa4(n);
if (nb_of_subdiagonals<0) nb_of_subdiagonals = n-1;
if (nb_of_superdiagonals<0) nb_of_superdiagonals = n-1;
fvec.resize(n);
qtf.resize(n);
R.resize(lr);
int ldfjac = n;
fjac.resize(ldfjac, n);
return hybrd_template<Scalar>(
Functor::f, 0,
n, x.data(), fvec.data(),
xtol, maxfev,
nb_of_subdiagonals, nb_of_superdiagonals,
epsfcn,
diag.data(), mode,
factor,
nprint,
nfev,
fjac.data(), ldfjac,
R.data(), lr,
qtf.data(),
wa1.data(), wa2.data(), wa3.data(), wa4.data()
);
}
template<typename Functor, typename Scalar>
int ei_hybrj(
Matrix< Scalar, Dynamic, 1 > &x,
Matrix< Scalar, Dynamic, 1 > &fvec,
int &nfev,
int &njev,
Matrix< Scalar, Dynamic, Dynamic > &fjac,
Matrix< Scalar, Dynamic, 1 > &R,
Matrix< Scalar, Dynamic, 1 > &qtf,
Matrix< Scalar, Dynamic, 1 > &diag,
int mode=1,
int maxfev = 1000,
Scalar factor = Scalar(100.),
Scalar xtol = ei_sqrt(epsilon<Scalar>()),
int nprint=0
)
{
int n = x.size();
int lr = (n*(n+1))/2;
Matrix< Scalar, Dynamic, 1 > wa1(n), wa2(n), wa3(n), wa4(n);
fvec.resize(n);
qtf.resize(n);
R.resize(lr);
int ldfjac = n;
fjac.resize(ldfjac, n);
return hybrj_template<Scalar> (
Functor::f, 0,
n, x.data(), fvec.data(),
fjac.data(), ldfjac,
xtol, maxfev,
diag.data(), mode,
factor,
nprint,
nfev,
njev,
R.data(), lr,
qtf.data(),
wa1.data(), wa2.data(), wa3.data(), wa4.data()
);
}
template<typename Functor, typename Scalar>
int ei_lmstr(
Matrix< Scalar, Dynamic, 1 > &x,
Matrix< Scalar, Dynamic, 1 > &fvec,
int &nfev,
int &njev,
Matrix< Scalar, Dynamic, Dynamic > &fjac,
VectorXi &ipvt,
Matrix< Scalar, Dynamic, 1 > &diag,
int mode=1,
Scalar factor = 100.,
int maxfev = 400,
Scalar ftol = ei_sqrt(epsilon<Scalar>()),
Scalar xtol = ei_sqrt(epsilon<Scalar>()),
Scalar gtol = Scalar(0.),
int nprint=0
)
{
Matrix< Scalar, Dynamic, 1 >
qtf(x.size()),
wa1(x.size()), wa2(x.size()), wa3(x.size()),
wa4(fvec.size());
int ldfjac = fvec.size();
ipvt.resize(x.size());
fjac.resize(ldfjac, x.size());
diag.resize(x.size());
return lmstr_template<Scalar> (
Functor::f, 0,
fvec.size(), x.size(), x.data(), fvec.data(),
fjac.data() , ldfjac,
ftol, xtol, gtol,
maxfev,
diag.data(), mode,
factor,
nprint,
nfev, njev,
ipvt.data(),
qtf.data(),
wa1.data(), wa2.data(), wa3.data(), wa4.data()
);
}
template<typename Functor, typename Scalar>
int ei_lmder(
Matrix< Scalar, Dynamic, 1 > &x,
Matrix< Scalar, Dynamic, 1 > &fvec,
int &nfev,
int &njev,
Matrix< Scalar, Dynamic, Dynamic > &fjac,
VectorXi &ipvt,
Matrix< Scalar, Dynamic, 1 > &diag,
int mode=1,
Scalar factor = 100.,
int maxfev = 400,
Scalar ftol = ei_sqrt(epsilon<Scalar>()),
Scalar xtol = ei_sqrt(epsilon<Scalar>()),
Scalar gtol = Scalar(0.),
int nprint=0
)
{
Matrix< Scalar, Dynamic, 1 >
qtf(x.size()),
wa1(x.size()), wa2(x.size()), wa3(x.size()),
wa4(fvec.size());
int ldfjac = fvec.size();
ipvt.resize(x.size());
fjac.resize(ldfjac, x.size());
diag.resize(x.size());
return lmder_template<Scalar>(
Functor::f, 0,
fvec.size(), x.size(), x.data(), fvec.data(),
fjac.data() , ldfjac,
ftol, xtol, gtol,
maxfev,
diag.data(), mode,
factor,
nprint,
nfev, njev,
ipvt.data(),
qtf.data(),
wa1.data(), wa2.data(), wa3.data(), wa4.data()
);
}
template<typename Functor, typename Scalar>
int ei_lmdif(
Matrix< Scalar, Dynamic, 1 > &x,
Matrix< Scalar, Dynamic, 1 > &fvec,
int &nfev,
Matrix< Scalar, Dynamic, Dynamic > &fjac,
VectorXi &ipvt,
Matrix< Scalar, Dynamic, 1 > &qtf,
Matrix< Scalar, Dynamic, 1 > &diag,
int mode=1,
Scalar factor = 100.,
int maxfev = 400,
Scalar ftol = ei_sqrt(epsilon<Scalar>()),
Scalar xtol = ei_sqrt(epsilon<Scalar>()),
Scalar gtol = Scalar(0.),
Scalar epsfcn = Scalar(0.),
int nprint=0
)
{
Matrix< Scalar, Dynamic, 1 >
wa1(x.size()), wa2(x.size()), wa3(x.size()),
wa4(fvec.size());
int ldfjac = fvec.size();
ipvt.resize(x.size());
fjac.resize(ldfjac, x.size());
diag.resize(x.size());
qtf.resize(x.size());
return lmdif_template<Scalar> (
Functor::f, 0,
fvec.size(), x.size(), x.data(), fvec.data(),
ftol, xtol, gtol,
maxfev,
epsfcn,
diag.data(), mode,
factor,
nprint,
nfev,
fjac.data() , ldfjac,
ipvt.data(),
qtf.data(),
wa1.data(), wa2.data(), wa3.data(), wa4.data()
);
}
#endif // EIGEN_NONLINEAR_MATHFUNCTIONS_H