Class smooth_gsl (o2scl)¶
-
class
o2scl
::
smooth_gsl
¶ Smooth a GSL vector using GSL bsplines.
- Todo:
Needs a bit more error checking and more documentation.
- Idea for Future:
Generalize to generic vector types. (Does this require reworking the GSL linear fitting routines? Doesn’t matter now, the GSL linear fitting routines are now reworked.)
- Idea for Future:
Possibly create a new gsl_bspline class which replaces the GSL bspline workspace
- Idea for Future:
Allow user to probe chi squared and the covariance?
Public Functions
-
smooth_gsl
()¶
-
smooth_gsl
(const gsl_vector *ix)¶ Begin using x-values from vector
ix
.
-
~smooth_gsl
()¶
-
void
set_ncoeff
(int incoeffs)¶ Set the number of coefficients.
-
void
set_order
(int order)¶ Set order.
-
void
set_pars
(int incoeffs, int order)¶ Set parameters.
-
void
set_x
(const gsl_vector *ix)¶ Set the x-values.
-
int
smooth_data
(const gsl_vector *y, const gsl_vector *e, gsl_vector *ys)¶ Smooth data in
y
with errorse
returning resultys
.
-
int
smooth_data
(const gsl_vector *y, gsl_vector *ys)¶ Smooth data in
y
returning resultys
.
Protected Functions
-
int
fit
(const gsl_vector *y)¶ Construct un-weighted fit.
-
int
fit_errors
(const gsl_vector *y, const gsl_vector *e)¶ Construct weighted fit.
-
double
calc_for_x
(double xi)¶ calculate smoothed curve value for a certain xi
-
int
init
()¶ Allocate memory and initialize splines.
-
void
init_pointers_and_defs
()¶ Set default values and zero pointers.
-
int
free
()¶ Free memory.
Protected Attributes
-
size_t
ncoeffs
¶ Number of free coefficients for spline.
-
size_t
norder
¶ Order of spline to be used (4=cubic)
-
size_t
nbreak
¶ internally calculated, number of “segment” to split the data into
-
bool
x_set
¶ True of the x values have been set.
-
gsl_bspline_workspace *
bw
¶ Spline workspace.
-
gsl_vector *
B
¶ Spline temporary vector.
-
gsl_vector *
c
¶ Parameters of linear fit, y=X*c.
-
gsl_multifit_linear_workspace *
mw
¶ Linear fit workspace.
-
gsl_matrix *
X
¶ Workspace for spline fitting.
-
const gsl_vector *
x
¶ Values of the independent variable.
-
gsl_matrix *
cov
¶ Covariance matrix.