Perform parameter regression combining single point Gibbs energy minimization and the GNU Scientific Library function gsl_multifit_fdfsolver ().
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#include <gsl/gsl_rng.h>
#include <gsl/gsl_randist.h>
#include <gsl/gsl_vector.h>
#include <gsl/gsl_blas.h>
#include <gsl/gsl_multifit_nlin.h>
Go to the source code of this file.
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void | print_state (size_t iter, gsl_multifit_fdfsolver *s) |
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void | set_aqueous_species () |
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int | init_fitted_params () |
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void | renew_fitted_params (const gsl_vector *x) |
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double | objfun (const gsl_vector *x, void *data_point, int i) |
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int | objfun_f (const gsl_vector *x, void *data_point, gsl_vector *f) |
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int | objfun_df (const gsl_vector *x, void *data_point, gsl_matrix *J) |
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int | objfun_fdf (const gsl_vector *x, void *data_point, gsl_vector *f, gsl_matrix *J) |
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void | gsl_reg () |
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Perform parameter regression combining single point Gibbs energy minimization and the GNU Scientific Library function gsl_multifit_fdfsolver ().
- Author
- Dongdong Li ddong.nosp@m._li@.nosp@m.hotma.nosp@m.il.c.nosp@m.om
- Date
- 2018-05-26
- Version
- 4.2.0.1
- Copyright
- Dongdong Li
Definition in file gsl_reg.c.
◆ gsl_reg()
◆ init_fitted_params()
int init_fitted_params |
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◆ objfun()
double objfun |
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const gsl_vector * |
x, |
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void * |
data_point, |
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int |
i |
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◆ objfun_df()
int objfun_df |
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const gsl_vector * |
x, |
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void * |
data_point, |
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gsl_matrix * |
J |
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◆ objfun_f()
int objfun_f |
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const gsl_vector * |
x, |
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void * |
data_point, |
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gsl_vector * |
f |
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◆ objfun_fdf()
int objfun_fdf |
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const gsl_vector * |
x, |
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void * |
data_point, |
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gsl_vector * |
f, |
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gsl_matrix * |
J |
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) |
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◆ print_state()
void print_state |
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size_t |
iter, |
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gsl_multifit_fdfsolver * |
s |
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◆ renew_fitted_params()
void renew_fitted_params |
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const gsl_vector * |
x | ) |
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◆ set_aqueous_species()
void set_aqueous_species |
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