mirror of
https://gitlab.com/libeigen/eigen.git
synced 2025-04-28 23:04:18 +08:00
merge both c methods hybrj1/hybrj into one class HybridNonLinearSolver with
two methods. hybrd stuff renamed to HybridNonLinearSolverNumericalDiff.
This commit is contained in:
parent
a043708e87
commit
d880e6f774
@ -54,7 +54,6 @@ namespace Eigen {
|
||||
#include "src/NonLinear/lmdif.h"
|
||||
#include "src/NonLinear/hybrj.h"
|
||||
#include "src/NonLinear/lmstr1.h"
|
||||
#include "src/NonLinear/hybrj1.h"
|
||||
#include "src/NonLinear/lmdif1.h"
|
||||
#include "src/NonLinear/chkder.h"
|
||||
|
||||
|
@ -1,9 +1,9 @@
|
||||
|
||||
template<typename FunctorType, typename Scalar>
|
||||
class HybridNonLinearSolver
|
||||
class HybridNonLinearSolverNumericalDiff
|
||||
{
|
||||
public:
|
||||
HybridNonLinearSolver(const FunctorType &_functor)
|
||||
HybridNonLinearSolverNumericalDiff(const FunctorType &_functor)
|
||||
: functor(_functor) {}
|
||||
int solve(
|
||||
Matrix< Scalar, Dynamic, 1 > &x,
|
||||
@ -36,7 +36,7 @@ private:
|
||||
|
||||
|
||||
template<typename FunctorType, typename Scalar>
|
||||
int HybridNonLinearSolver<FunctorType,Scalar>::solve(
|
||||
int HybridNonLinearSolverNumericalDiff<FunctorType,Scalar>::solve(
|
||||
Matrix< Scalar, Dynamic, 1 > &x,
|
||||
Matrix< Scalar, Dynamic, 1 > &fvec,
|
||||
Scalar tol
|
||||
@ -70,7 +70,7 @@ int HybridNonLinearSolver<FunctorType,Scalar>::solve(
|
||||
|
||||
|
||||
template<typename FunctorType, typename Scalar>
|
||||
int HybridNonLinearSolver<FunctorType,Scalar>::solve(
|
||||
int HybridNonLinearSolverNumericalDiff<FunctorType,Scalar>::solve(
|
||||
Matrix< Scalar, Dynamic, 1 > &x,
|
||||
Matrix< Scalar, Dynamic, 1 > &fvec,
|
||||
int &nfev,
|
||||
|
@ -1,7 +1,78 @@
|
||||
|
||||
|
||||
template<typename FunctorType, typename Scalar>
|
||||
int ei_hybrj(
|
||||
const FunctorType &Functor,
|
||||
class HybridNonLinearSolver
|
||||
{
|
||||
public:
|
||||
HybridNonLinearSolver(const FunctorType &_functor)
|
||||
: functor(_functor) {}
|
||||
|
||||
|
||||
int solve(
|
||||
Matrix< Scalar, Dynamic, 1 > &x,
|
||||
Matrix< Scalar, Dynamic, 1 > &fvec,
|
||||
Matrix< Scalar, Dynamic, Dynamic > &fjac,
|
||||
Scalar tol = ei_sqrt(epsilon<Scalar>())
|
||||
);
|
||||
|
||||
int solve(
|
||||
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
|
||||
);
|
||||
|
||||
private:
|
||||
const FunctorType &functor;
|
||||
};
|
||||
|
||||
|
||||
|
||||
template<typename FunctorType, typename Scalar>
|
||||
int HybridNonLinearSolver<FunctorType,Scalar>::solve(
|
||||
Matrix< Scalar, Dynamic, 1 > &x,
|
||||
Matrix< Scalar, Dynamic, 1 > &fvec,
|
||||
Matrix< Scalar, Dynamic, Dynamic > &fjac,
|
||||
Scalar tol
|
||||
)
|
||||
{
|
||||
const int n = x.size();
|
||||
int info, nfev=0, njev=0;
|
||||
Matrix< Scalar, Dynamic, 1> R, qtf, diag;
|
||||
|
||||
/* check the input parameters for errors. */
|
||||
if (n <= 0 || tol < 0.) {
|
||||
printf("ei_hybrd1 bad args : n,tol,...");
|
||||
return 0;
|
||||
}
|
||||
|
||||
diag.setConstant(n, 1.);
|
||||
info = solve(
|
||||
x, fvec,
|
||||
nfev, njev,
|
||||
fjac,
|
||||
R, qtf, diag,
|
||||
2,
|
||||
(n+1)*100,
|
||||
100.,
|
||||
tol
|
||||
);
|
||||
return (info==5)?4:info;
|
||||
}
|
||||
|
||||
|
||||
|
||||
template<typename FunctorType, typename Scalar>
|
||||
int HybridNonLinearSolver<FunctorType,Scalar>::solve(
|
||||
Matrix< Scalar, Dynamic, 1 > &x,
|
||||
Matrix< Scalar, Dynamic, 1 > &fvec,
|
||||
int &nfev,
|
||||
@ -10,11 +81,11 @@ int ei_hybrj(
|
||||
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 mode,
|
||||
int maxfev,
|
||||
Scalar factor,
|
||||
Scalar xtol,
|
||||
int nprint
|
||||
)
|
||||
{
|
||||
const int n = x.size();
|
||||
@ -60,7 +131,7 @@ int ei_hybrj(
|
||||
/* evaluate the function at the starting point */
|
||||
/* and calculate its norm. */
|
||||
|
||||
iflag = Functor.f(x, fvec);
|
||||
iflag = functor.f(x, fvec);
|
||||
nfev = 1;
|
||||
if (iflag < 0)
|
||||
goto algo_end;
|
||||
@ -81,7 +152,7 @@ int ei_hybrj(
|
||||
|
||||
/* calculate the jacobian matrix. */
|
||||
|
||||
iflag = Functor.df(x, fjac);
|
||||
iflag = functor.df(x, fjac);
|
||||
++njev;
|
||||
if (iflag < 0)
|
||||
break;
|
||||
@ -152,12 +223,12 @@ int ei_hybrj(
|
||||
/* beginning of the inner loop. */
|
||||
|
||||
while (true) {
|
||||
/* if requested, call Functor.f to enable printing of iterates. */
|
||||
/* if requested, call functor.f to enable printing of iterates. */
|
||||
|
||||
if (nprint > 0) {
|
||||
iflag = 0;
|
||||
if ((iter - 1) % nprint == 0)
|
||||
iflag = Functor.debug(x, fvec, fjac);
|
||||
iflag = functor.debug(x, fvec, fjac);
|
||||
if (iflag < 0)
|
||||
goto algo_end;
|
||||
}
|
||||
@ -180,7 +251,7 @@ int ei_hybrj(
|
||||
|
||||
/* evaluate the function at x + p and calculate its norm. */
|
||||
|
||||
iflag = Functor.f(wa2, wa4);
|
||||
iflag = functor.f(wa2, wa4);
|
||||
++nfev;
|
||||
if (iflag < 0)
|
||||
goto algo_end;
|
||||
@ -307,7 +378,7 @@ algo_end:
|
||||
if (iflag < 0)
|
||||
info = iflag;
|
||||
if (nprint > 0)
|
||||
iflag = Functor.debug(x, fvec, fjac);
|
||||
iflag = functor.debug(x, fvec, fjac);
|
||||
return info;
|
||||
}
|
||||
|
||||
|
@ -1,35 +0,0 @@
|
||||
|
||||
template<typename FunctorType, typename Scalar>
|
||||
int ei_hybrj1(
|
||||
const FunctorType &Functor,
|
||||
Matrix< Scalar, Dynamic, 1 > &x,
|
||||
Matrix< Scalar, Dynamic, 1 > &fvec,
|
||||
Matrix< Scalar, Dynamic, Dynamic > &fjac,
|
||||
Scalar tol = ei_sqrt(epsilon<Scalar>())
|
||||
)
|
||||
{
|
||||
const int n = x.size();
|
||||
int info, nfev=0, njev=0;
|
||||
Matrix< Scalar, Dynamic, 1> R, qtf, diag;
|
||||
|
||||
/* check the input parameters for errors. */
|
||||
if (n <= 0 || tol < 0.) {
|
||||
printf("ei_hybrd1 bad args : n,tol,...");
|
||||
return 0;
|
||||
}
|
||||
|
||||
diag.setConstant(n, 1.);
|
||||
info = ei_hybrj(
|
||||
Functor,
|
||||
x, fvec,
|
||||
nfev, njev,
|
||||
fjac,
|
||||
R, qtf, diag,
|
||||
2,
|
||||
(n+1)*100,
|
||||
100.,
|
||||
tol
|
||||
);
|
||||
return (info==5)?4:info;
|
||||
}
|
||||
|
@ -269,7 +269,9 @@ void testHybrj1()
|
||||
x.setConstant(n, -1.);
|
||||
|
||||
// do the computation
|
||||
info = ei_hybrj1(hybrj_functor(), x,fvec, fjac);
|
||||
hybrj_functor functor;
|
||||
HybridNonLinearSolver<hybrj_functor,double> solver(functor);
|
||||
info = solver.solve(x, fvec, fjac);
|
||||
|
||||
// check return value
|
||||
VERIFY( 1 == info);
|
||||
@ -301,7 +303,9 @@ void testHybrj()
|
||||
diag.setConstant(n, 1.);
|
||||
|
||||
// do the computation
|
||||
info = ei_hybrj(hybrj_functor(), x,fvec, nfev, njev, fjac, R, qtf, diag, mode);
|
||||
hybrj_functor functor;
|
||||
HybridNonLinearSolver<hybrj_functor,double> solver(functor);
|
||||
info = solver.solve(x,fvec, nfev, njev, fjac, R, qtf, diag, mode);
|
||||
|
||||
// check return value
|
||||
VERIFY( 1 == info);
|
||||
@ -353,7 +357,7 @@ void testHybrd1()
|
||||
|
||||
// do the computation
|
||||
hybrd_functor functor;
|
||||
HybridNonLinearSolver <hybrd_functor,double> solver(functor);
|
||||
HybridNonLinearSolverNumericalDiff <hybrd_functor,double> solver(functor);
|
||||
info = solver.solve(x, fvec);
|
||||
|
||||
// check return value
|
||||
@ -385,7 +389,7 @@ void testHybrd()
|
||||
|
||||
// do the computation
|
||||
hybrd_functor functor;
|
||||
HybridNonLinearSolver <hybrd_functor,double> solver(functor);
|
||||
HybridNonLinearSolverNumericalDiff <hybrd_functor,double> solver(functor);
|
||||
info = solver.solve(x,fvec, nfev, fjac, R, qtf, diag, mode, ml, mu);
|
||||
|
||||
// check return value
|
||||
|
Loading…
x
Reference in New Issue
Block a user