mirror of
https://gitlab.com/libeigen/eigen.git
synced 2025-08-12 19:59:05 +08:00
eigenize the test for lmder1, clean functor stuff.
(and check the tests still pass, of course, that's the whole point..)
This commit is contained in:
parent
5e4cf6cae1
commit
a6625f22d4
@ -28,7 +28,6 @@
|
|||||||
#include <cminpack.h>
|
#include <cminpack.h>
|
||||||
|
|
||||||
template<typename Functor, typename Scalar>
|
template<typename Functor, typename Scalar>
|
||||||
// TODO : fixe Scalar here
|
|
||||||
int ei_hybrd1(
|
int ei_hybrd1(
|
||||||
Eigen::Matrix< Scalar, Eigen::Dynamic, 1 > &x,
|
Eigen::Matrix< Scalar, Eigen::Dynamic, 1 > &x,
|
||||||
Eigen::Matrix< Scalar, Eigen::Dynamic, 1 > &fvec,
|
Eigen::Matrix< Scalar, Eigen::Dynamic, 1 > &fvec,
|
||||||
@ -41,5 +40,27 @@ int ei_hybrd1(
|
|||||||
return hybrd1(Functor::f, 0, x.size(), x.data(), fvec.data(), tol, wa.data(), lwa);
|
return hybrd1(Functor::f, 0, x.size(), x.data(), fvec.data(), tol, wa.data(), lwa);
|
||||||
}
|
}
|
||||||
|
|
||||||
|
template<typename Functor, typename Scalar>
|
||||||
|
int ei_lmder1(
|
||||||
|
Eigen::Matrix< Scalar, Eigen::Dynamic, 1 > &x,
|
||||||
|
Eigen::Matrix< Scalar, Eigen::Dynamic, 1 > &fvec,
|
||||||
|
Scalar tol = Eigen::ei_sqrt(Eigen::machine_epsilon<Scalar>())
|
||||||
|
)
|
||||||
|
{
|
||||||
|
int lwa = 5*x.size()+fvec.size();
|
||||||
|
Eigen::Matrix< Scalar, Eigen::Dynamic, 1 > wa(lwa);
|
||||||
|
VectorXi ipvt(x.size());
|
||||||
|
int ldfjac = fvec.size();
|
||||||
|
Eigen::Matrix< Scalar, Eigen::Dynamic, Eigen::Dynamic > fjac(ldfjac, x.size());
|
||||||
|
return lmder1 (
|
||||||
|
Functor::f, 0,
|
||||||
|
fvec.size(), x.size(), x.data(), fvec.data(),
|
||||||
|
fjac.data() , ldfjac,
|
||||||
|
tol,
|
||||||
|
ipvt.data(),
|
||||||
|
wa.data(), lwa
|
||||||
|
);
|
||||||
|
}
|
||||||
|
|
||||||
#endif // EIGEN_NONLINEAR_MATHFUNCTIONS_H
|
#endif // EIGEN_NONLINEAR_MATHFUNCTIONS_H
|
||||||
|
|
||||||
|
@ -112,8 +112,8 @@ void testChkder()
|
|||||||
}
|
}
|
||||||
|
|
||||||
|
|
||||||
int fcn_lmder1(void * /*p*/, int /*m*/, int /*n*/, const double *x, double *fvec, double *fjac,
|
struct lmder1_functor {
|
||||||
int ldfjac, int iflag)
|
static int f(void * /*p*/, int /*m*/, int /*n*/, const double *x, double *fvec, double *fjac, int ldfjac, int iflag)
|
||||||
{
|
{
|
||||||
|
|
||||||
/* subroutine fcn for lmder1 example. */
|
/* subroutine fcn for lmder1 example. */
|
||||||
@ -150,43 +150,34 @@ int fcn_lmder1(void * /*p*/, int /*m*/, int /*n*/, const double *x, double *fvec
|
|||||||
}
|
}
|
||||||
return 0;
|
return 0;
|
||||||
}
|
}
|
||||||
|
};
|
||||||
|
|
||||||
|
|
||||||
void testLmder1()
|
void testLmder1()
|
||||||
{
|
{
|
||||||
int j, m, n, ldfjac, info, lwa;
|
int m=15, n=3, info;
|
||||||
int ipvt[3];
|
|
||||||
double tol, fnorm;
|
|
||||||
double x[3], fvec[15], fjac[15*3], wa[30];
|
|
||||||
|
|
||||||
m = 15;
|
Eigen::VectorXd x(n), fvec(m);
|
||||||
n = 3;
|
Eigen::MatrixXd fjac(m, n);
|
||||||
|
|
||||||
/* the following starting values provide a rough fit. */
|
/* the following starting values provide a rough fit. */
|
||||||
|
x.setConstant(n, 1.);
|
||||||
|
|
||||||
x[1-1] = 1.;
|
// do the computation
|
||||||
x[2-1] = 1.;
|
info = ei_lmder1<lmder1_functor,double>(x, fvec);
|
||||||
x[3-1] = 1.;
|
|
||||||
|
|
||||||
ldfjac = 15;
|
// check return value
|
||||||
lwa = 30;
|
VERIFY( 1 == info);
|
||||||
|
|
||||||
/* set tol to the square root of the machine precision. */
|
// check norm
|
||||||
/* unless high solutions are required, */
|
VERIFY_IS_APPROX(fvec.norm(), 0.09063596);
|
||||||
/* this is the recommended setting. */
|
|
||||||
|
|
||||||
tol = sqrt(dpmpar(1));
|
// check x
|
||||||
|
VectorXd x_ref(n);
|
||||||
info = lmder1(fcn_lmder1, 0, m, n, x, fvec, fjac, ldfjac, tol,
|
x_ref << 0.08241058, 1.133037, 2.343695;
|
||||||
ipvt, wa, lwa);
|
VERIFY_IS_APPROX(x, x_ref);
|
||||||
fnorm = enorm(m, fvec);
|
|
||||||
|
|
||||||
VERIFY_IS_APPROX(fnorm, 0.09063596);
|
|
||||||
VERIFY(info == 1);
|
|
||||||
double x_ref[] = {0.08241058, 1.133037, 2.343695 };
|
|
||||||
for (j=1; j<=n; j++) VERIFY_IS_APPROX(x[j-1], x_ref[j-1]);
|
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
||||||
int fcn_lmder(void * /*p*/, int /*m*/, int /*n*/, const double *x, double *fvec, double *fjac,
|
int fcn_lmder(void * /*p*/, int /*m*/, int /*n*/, const double *x, double *fvec, double *fjac,
|
||||||
int ldfjac, int iflag)
|
int ldfjac, int iflag)
|
||||||
{
|
{
|
||||||
@ -464,7 +455,8 @@ void testHybrj()
|
|||||||
for (j=1; j<=n; j++) VERIFY_IS_APPROX(x[j-1], x_ref[j-1]);
|
for (j=1; j<=n; j++) VERIFY_IS_APPROX(x[j-1], x_ref[j-1]);
|
||||||
}
|
}
|
||||||
|
|
||||||
int fcn_hybrd1(void * /*p*/, int n, const double *x, double *fvec, int /*iflag*/)
|
struct hybrd1_functor {
|
||||||
|
static int f(void * /*p*/, int n, const double *x, double *fvec, int /*iflag*/)
|
||||||
{
|
{
|
||||||
/* subroutine fcn for hybrd1 example. */
|
/* subroutine fcn for hybrd1 example. */
|
||||||
|
|
||||||
@ -482,11 +474,6 @@ int fcn_hybrd1(void * /*p*/, int n, const double *x, double *fvec, int /*iflag*/
|
|||||||
}
|
}
|
||||||
return 0;
|
return 0;
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
||||||
struct myfunctor {
|
|
||||||
static int f(void *p, int n, const double *x, double *fvec, int iflag )
|
|
||||||
{ return fcn_hybrd1(p,n,x,fvec,iflag) ; }
|
|
||||||
};
|
};
|
||||||
|
|
||||||
void testHybrd1()
|
void testHybrd1()
|
||||||
@ -497,11 +484,8 @@ void testHybrd1()
|
|||||||
/* the following starting values provide a rough solution. */
|
/* the following starting values provide a rough solution. */
|
||||||
x.setConstant(n, -1.);
|
x.setConstant(n, -1.);
|
||||||
|
|
||||||
/* set tol to the square root of the machine precision. */
|
// do the computation
|
||||||
/* unless high solutions are required, */
|
info = ei_hybrd1<hybrd1_functor,double>(x, fvec);
|
||||||
/* this is the recommended setting. */
|
|
||||||
|
|
||||||
info = ei_hybrd1<myfunctor,double>(x, fvec);
|
|
||||||
|
|
||||||
// check return value
|
// check return value
|
||||||
VERIFY( 1 == info);
|
VERIFY( 1 == info);
|
||||||
|
Loading…
x
Reference in New Issue
Block a user