| Module 21.2: nag_rand_contin - Random Numbers from Continuous Distributions | |
|
nag_rand_contin_ex01 Example Text |
Generation of repeatable and non-repeatable sequences of random numbers from a uniform distribution |
|
nag_rand_contin_ex02 Example Text Example Data |
Generation of a vector of random numbers from a multivariate Normal distribution |
|
nag_rand_contin_ex03 Example Text |
Generation of real random numbers from a uniform distribution with end-points (a,b) or (0,1), using both scalar-valued and array-valued function calls |
|
nag_rand_contin_ex04 Example Text |
Generation of real random numbers from a negative exponential distribution with known parameter, using both scalar-valued and array-valued function calls |
|
nag_rand_contin_ex05 Example Text |
Generation of real random numbers from a beta distribution with known parameters, using both scalar-valued and array-valued function calls |
|
nag_rand_contin_ex06 Example Text |
Generation of real random numbers from a gamma distribution with known parameters, using both scalar-valued and array-valued function calls |
|
nag_rand_contin_ex07 Example Text |
Generation of real random numbers from a Normal distribution with known parameters using both Brent and Box-Muller methods, and scalar-valued function calls |
|
nag_rand_contin_ex08 Example Text |
Generation of real random numbers from a Normal distribution with known parameters, using both Brent and Box-Muller methods, and array-valued function calls |