Function | Purpose Statement |
Codes and decodes binary information from phenotypes to a chromosome. | |
Returns a new copy of an existing chromosome. | |
Returns a new copy of an existing individual. | |
Returns a new copy of an existing population. | |
Copies the contents of one chromosome into another chromosome. | |
Copies the contents of one individual into another individual. | |
Copies the contents of one population into another population. | |
Decodes an individual’s chromosome into its binary, nominal, integer and real phenotypes. | |
Encodes an individual’s binary, nominal, integer and real phenotypes into its chromosome. | |
Frees memory allocated to an existing individual. | |
Frees memory allocated to an existing population. | |
Adds individuals to an existing population. | |
Creates an Imsls_f_individual data structure from user supplied phenotypes. | |
Creates a new population by merging two populations with identical chromosome structures. | |
Performs the mutation operation on an individual’s chromosome. | |
Creates an Imsls_f_population data structure from user supplied individuals. | |
Creates an Imsls_f_population data structure from randomly generated individuals. | |
Evaluates the real gamma functions. | |
Evaluates the gamma distribution function. | |
Evaluates the incomplete gamma function. | |
Evaluates the inverse of the gamma distribution function. | |
Computes estimates of the parameters of a GARCH (p, q) model. | |
Optimizes a user defined fitness function using a tailored genetic algorithm. | |
Evaluates the discrete geometric cumulative distribution function (CDF). | |
Evaluates the inverse of the discrete geometric cumulative distribution function (CDF). | |
Evaluates the discrete geometric probability density function (PDF). |