Search results for "distribution:Math-GSL SUM"
Math::GSL::Sum - Sum series with the Levin u-transform
These functions accelerate the convergence of a series using the Levin u-transform. * gsl_sum_levin_u_alloc($n) This function allocates a workspace for a Levin u-transform of $n terms. * gsl_sum_levin_u_free($w) - This function frees the memory assoc...
HAKONH/Math-GSL-0.44 - 01 Dec 2023 19:49:12 UTC
Math::GSL::Sum - Sum series with the Levin u-transform
These functions accelerate the convergence of a series using the Levin u-transform. * gsl_sum_levin_u_alloc($n) This function allocates a workspace for a Levin u-transform of $n terms. * gsl_sum_levin_u_free($w) - This function frees the memory assoc...
HAKONH/Math-GSL-0.44 - 01 Dec 2023 19:49:12 UTC
Math::GSL - Perl interface to the GNU Scientific Library (GSL)
HAKONH/Math-GSL-0.44
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01 Dec 2023 19:49:12 UTC
Math::GSL::Fit - Least-squares functions for a general linear model with one- or two-parameter regression
The functions in this module perform least-squares fits to a general linear model, y = X c where y is a vector of n observations, X is an n by p matrix of predictor variables, and the elements of the vector c are the p unknown best-fit parameters whi...
HAKONH/Math-GSL-0.44 - 01 Dec 2023 19:49:12 UTC
Math::GSL::Fit - Least-squares functions for a general linear model with one- or two-parameter regression
The functions in this module perform least-squares fits to a general linear model, y = X c where y is a vector of n observations, X is an n by p matrix of predictor variables, and the elements of the vector c are the p unknown best-fit parameters whi...
HAKONH/Math-GSL-0.44 - 01 Dec 2023 19:49:12 UTC
Math::GSL::BLAS - Basic Linear Algebra Subprograms
The functions of this module are divised into 3 levels: Level 1 - Vector operations "gsl_blas_sdsdot" "gsl_blas_dsdot" "gsl_blas_sdot" "gsl_blas_ddot($x, $y)" This function computes the scalar product x^T y for the vectors $x and $y. The function ret...
HAKONH/Math-GSL-0.44 - 01 Dec 2023 19:49:12 UTC
Math::GSL::BLAS - Basic Linear Algebra Subprograms
The functions of this module are divised into 3 levels: Level 1 - Vector operations "gsl_blas_sdsdot" "gsl_blas_dsdot" "gsl_blas_sdot" "gsl_blas_ddot($x, $y)" This function computes the scalar product x^T y for the vectors $x and $y. The function ret...
HAKONH/Math-GSL-0.44 - 01 Dec 2023 19:49:12 UTC
Math::GSL::Complex - Complex Numbers
Here is a list of all the functions included in this module : "gsl_complex_arg($z)" Return the argument of the complex number $z "gsl_complex_abs($z)" Return |$z|, the magnitude of the complex number $z "gsl_complex_rect($x,$y)" Create a complex numb...
HAKONH/Math-GSL-0.44 - 01 Dec 2023 19:49:12 UTC
Math::GSL::Complex - Complex Numbers
Here is a list of all the functions included in this module : "gsl_complex_arg($z)" Return the argument of the complex number $z "gsl_complex_abs($z)" Return |$z|, the magnitude of the complex number $z "gsl_complex_rect($x,$y)" Create a complex numb...
HAKONH/Math-GSL-0.44 - 01 Dec 2023 19:49:12 UTC
Math::GSL::Randist - Probability Distributions
Here is a list of all the functions included in this module. For all sampling methods, the first argument $r is a raw gsl_rnd structure retrieve by calling raw() on an Math::GSL::RNG object. Bernoulli gsl_ran_bernoulli($r, $p) This function returns e...
HAKONH/Math-GSL-0.44 - 01 Dec 2023 19:49:12 UTC
Math::GSL::Randist - Probability Distributions
Here is a list of all the functions included in this module. For all sampling methods, the first argument $r is a raw gsl_rnd structure retrieve by calling raw() on an Math::GSL::RNG object. Bernoulli gsl_ran_bernoulli($r, $p) This function returns e...
HAKONH/Math-GSL-0.44 - 01 Dec 2023 19:49:12 UTC
Math::GSL::Multifit - Least-squares functions for a general linear model with multiple parameters
NOTE: This module requires GSL 2.1 or higher. The functions in this module perform least-squares fits to a general linear model, y = X c where y is a vector of n observations, X is an n by p matrix of predictor variables, and the elements of the vect...
HAKONH/Math-GSL-0.44 - 01 Dec 2023 19:49:12 UTC
Math::GSL::Multifit - Least-squares functions for a general linear model with multiple parameters
NOTE: This module requires GSL 2.1 or higher. The functions in this module perform least-squares fits to a general linear model, y = X c where y is a vector of n observations, X is an n by p matrix of predictor variables, and the elements of the vect...
HAKONH/Math-GSL-0.44 - 01 Dec 2023 19:49:12 UTC
Math::GSL::Histogram - Create and manipulate histograms of data
Here is a list of all the functions included in this module : "gsl_histogram_alloc($n)" - This function allocates memory for a histogram with $n bins, and returns a pointer to a newly created gsl_histogram struct. The bins and ranges are not initiali...
HAKONH/Math-GSL-0.44 - 01 Dec 2023 19:49:12 UTC
Math::GSL::Histogram - Create and manipulate histograms of data
Here is a list of all the functions included in this module : "gsl_histogram_alloc($n)" - This function allocates memory for a histogram with $n bins, and returns a pointer to a newly created gsl_histogram struct. The bins and ranges are not initiali...
HAKONH/Math-GSL-0.44 - 01 Dec 2023 19:49:12 UTC
Math::GSL::Statistics - Statistical functions
Here is a list of all the functions in this module : * "gsl_stats_mean($data, $stride, $n)" - This function returns the arithmetic mean of the array reference $data, a dataset of length $n with stride $stride. The arithmetic mean, or sample mean, is ...
HAKONH/Math-GSL-0.44 - 01 Dec 2023 19:49:12 UTC
Math::GSL::Statistics - Statistical functions
Here is a list of all the functions in this module : * "gsl_stats_mean($data, $stride, $n)" - This function returns the arithmetic mean of the array reference $data, a dataset of length $n with stride $stride. The arithmetic mean, or sample mean, is ...
HAKONH/Math-GSL-0.44 - 01 Dec 2023 19:49:12 UTC
Math::GSL::Multilarge - Least-squares functions for a general linear model with multiple parameters
NOTE: This module requires GSL 2.1 or higher. The functions in this module perform least-squares fits to a general linear model, y = X c where y is a vector of n observations, X is an n by p matrix of predictor variables, and the elements of the vect...
HAKONH/Math-GSL-0.44 - 01 Dec 2023 19:49:12 UTC
Math::GSL::Histogram2D - Create and manipulate histograms of data in 2 dimensions
This subsystem allows the creation and manipulation of 2D histograms. Currently, only a raw interface exists. "gsl_histogram2d_alloc($nx, $ny)" - This function allocates memory for a two-dimensional histogram with $nx bins in the x direction and $ny ...
HAKONH/Math-GSL-0.44 - 01 Dec 2023 19:49:12 UTC
Math::GSL::Histogram2D - Create and manipulate histograms of data in 2 dimensions
This subsystem allows the creation and manipulation of 2D histograms. Currently, only a raw interface exists. "gsl_histogram2d_alloc($nx, $ny)" - This function allocates memory for a two-dimensional histogram with $nx bins in the x direction and $ny ...
HAKONH/Math-GSL-0.44 - 01 Dec 2023 19:49:12 UTC