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You must provide @math{n} functions of @math{p} variables for the minimization algorithms to operate on. In order to allow for general parameters the
functions are defined by the following data types:
- Data Type: gsl_multifit_function
-
This data type defines a general system of functions with parameters.
int (* f) (const gsl_vector * x, void * params, gsl_vector * f)
-
this function should store the vector result
@math{f(x,params)} in f for argument x and parameters params,
returning an appropriate error code if the function cannot be computed.
size_t n
-
the number of functions, i.e. the number of components of the
vector f
size_t p
-
the number of independent variables, i.e. the number of components of
the vectors x
void * params
-
a pointer to the parameters of the function
- Data Type: gsl_multifit_function_fdf
-
This data type defines a general system of functions with parameters and
the corresponding Jacobian matrix of derivatives,
int (* f) (const gsl_vector * x, void * params, gsl_vector * f)
-
this function should store the vector result
@math{f(x,params)} in f for argument x and parameters params,
returning an appropriate error code if the function cannot be computed.
int (* df) (const gsl_vector * x, void * params, gsl_matrix * J)
-
this function should store the n-by-p matrix result
@math{J_ij = d f_i(x,params) / d x_j} in J for argument x
and parameters params, returning an appropriate error code if the
function cannot be computed.
int (* fdf) (const gsl_vector * x, void * params, gsl_vector * f, gsl_matrix * J)
-
This function should set the values of the f and J as above,
for arguments x and parameters params. This function provides
an optimization of the separate functions for @math{f(x)} and @math{J(x)} --
it is always faster to compute the function and its derivative at the
same time.
size_t n
-
the number of functions, i.e. the number of components of the
vector f
size_t p
-
the number of independent variables, i.e. the number of components of
the vectors x
void * params
-
a pointer to the parameters of the function
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