G

Function Purpose Statement
gaChromosome Codes and decodes binary information from phenotypes to a chromosome.
gaCloneChromosome Returns a new copy of an existing chromosome.
gaCloneIndividual Returns a new copy of an existing individual.
gaClonePopulation Returns a new copy of an existing population.
gaCopyChromosome Copies the contents of one chromosome into another chromosome.
gaCopyIndividual Copies the contents of one individual into another individual.
gaCopyPopulation Copies the contents of one population into another population.
gaDecode Decodes an individual’s chromosome into its binary, nominal, integer and real phenotypes.
gaEncode Encodes an individual’s binary, nominal, integer and real phenotypes into its chromosome.
gaFreeIndividual Frees memory allocated to an existing individual.
gaFreePopulation Frees memory allocated to an existing population.
gaGrowPopulation Adds individuals to an existing population.
gaIndividual Creates an Imsls_d_individual data structure from user supplied phenotypes.
gaMergePopulation Creates a new population by merging two populations with identical chromosome structures.
gaMutate Performs the mutation operation on an individual’s chromosome.
gaPopulation Creates an Imsls_d_population data structure from user supplied individuals.
gaRandomPopulation Creates an Imsls_d_population data structure from randomly generated individuals.
gamma Evaluates the real gamma functions.
gammaCdf Evaluates the gamma distribution function.
gammaIncomplete Evaluates the incomplete gamma function.
gammaInverseCdf Evaluates the inverse of the gamma distribution function.
garch Computes estimates of the parameters of a GARCH (p, q) model.
geneticAlgorithm Optimizes a user defined fitness function using a tailored genetic algorithm.
geometricCdf Evaluates the discrete geometric cumulative distribution function (CDF).
geometricInverseCdf Evaluates the inverse of the discrete geometric cumulative distribution function (CDF).
geometricPdf Evaluates the discrete geometric probability density function (PDF).