Chapter Introduction |
Module 21.1: nag_rand_util - Utilities for Random Number Generation |
nag_rand_seed_set |
Sets the seed used by random number
generating procedures to give a repeatable or non-repeatable sequence of random numbers |
nag_seed_wp |
Stores data required to generate successive
random numbers from a given stream (type) |
There are no examples for this module.
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Module 21.2: nag_rand_contin - Random Numbers from Continuous Distributions |
nag_rand_uniform |
Generates random numbers from a uniform distribution over (a,b) |
nag_rand_normal |
Generates random numbers from a Normal distribution with mean a and standard deviation b |
nag_rand_mv_normal |
Generates a vector of random numbers from a multivariate Normal distribution with mean vector a and covariance matrix C |
nag_rand_beta |
Generates random numbers from a beta distribution with parameters a and b |
nag_rand_neg_exp |
Generates random numbers from a (negative) exponential distribution with mean a |
nag_rand_gamma |
Generates random numbers from a gamma distribution with parameters a and b |
Examples
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Module 21.3: nag_rand_discrete - Random Numbers from Discrete Distributions |
nag_rand_binom |
Generates random integers from a binomial distribution and/or returns a reference vector for the distribution |
nag_rand_neg_binom |
Generates random integers from a negative binomial distribution and/or returns a reference vector for the distribution |
nag_rand_hypergeo |
Generates random integers from an hypergeometric distribution and/or returns a reference vector for the distribution |
nag_rand_user_dist |
Generates random integers and/or returns a reference vector from a discrete distribution defined in terms of its PDF or CDF |
nag_rand_ref_vec |
Generates random integers from a discrete distribution, using a reference vector |
nag_ref_vec_wp |
Stores a reference vector which is used to generate random integers from a discrete distribution (type) |
Examples
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