package gsl

You can search for identifiers within the package.

in-package search v0.2.0

gsl
- Gsl
- Gsl_blas
- Gsl_blas_flat
  - Complex
- Gsl_blas_gen
  - Complex
- Gsl_bspline
- Gsl_cdf
- Gsl_cheb
- Gsl_combi
- Gsl_complex
- Gsl_const
  - CGS
  - CGSM
  - MKS
  - MKSA
  - NUM
- Gsl_deriv
- Gsl_eigen
- Gsl_error
- Gsl_fft
  - Complex
  - Halfcomplex
  - Real
- Gsl_fit
- Gsl_fun
- Gsl_histo
- Gsl_ieee
- Gsl_integration
- Gsl_interp
- Gsl_linalg
- Gsl_math
- Gsl_matrix
  - Single
- Gsl_matrix_complex
  - Single
- Gsl_matrix_complex_flat
- Gsl_matrix_flat
- Gsl_min
- Gsl_misc
- Gsl_monte
- Gsl_multifit
- Gsl_multifit_nlin
- Gsl_multimin
  - Deriv
  - NoDeriv
- Gsl_multiroot
  - Deriv
  - NoDeriv
- Gsl_odeiv
- Gsl_permut
- Gsl_poly
- Gsl_qrng
- Gsl_randist
- Gsl_rng
- Gsl_root
  - Bracket
  - Polish
- Gsl_sf
- Gsl_siman
- Gsl_sort
- Gsl_stats
- Gsl_sum
  - Trunc
- Gsl_vectmat
- Gsl_vector
  - Single
- Gsl_vector_complex
  - Single
- Gsl_vector_complex_flat
- Gsl_vector_flat
- Gsl_version
- Gsl_wavelet

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Least-Squares Fitting

type linear_fit_coeffs = {

c0 : float;
c1 : float;
cov00 : float;
cov01 : float;
cov11 : float;
sumsq : float;

}

val linear : 
  ?weight:float array ->
  float array ->
  float array ->
  linear_fit_coeffs

val linear_est : float -> coeffs:linear_fit_coeffs -> Gsl_fun.result

type mul_fit_coeffs = {

m_c1 : float;
m_cov11 : float;
m_sumsq : float;

}

val mul : ?weight:float array -> float array -> float array -> mul_fit_coeffs

val mul_est : float -> coeffs:mul_fit_coeffs -> Gsl_fun.result