NAG Library Routine Document
G05KFF
Note: before using this routine, please read the Users' Note for your implementation to check the interpretation of bold italicised terms and other implementation-dependent details.
1 Purpose
G05KFF initializes the selected base generator, as used by the group of pseudorandom number routines (see
G05KHF–
G05KJF,
G05NCF,
G05NDF,
G05PDF–
G05PJF,
G05PXF–
G05PZF,
G05RCF,
G05RDF,
G05RYF,
G05RZF and
G05SAF–
G05TLF) and the quasi-random scrambled sequence initialization routine,
G05YNF.
2 Specification
INTEGER
GENID, SUBID, SEED(LSEED), LSEED, STATE(LSTATE), LSTATE, IFAIL
3 Description
G05KFF selects a base generator through the input value of the parameters
GENID and
SUBID, and then initializes it based on the values given in the array
SEED.
A given base generator will yield different sequences of random numbers if initialized with different values of
SEED. Alternatively, the same sequence of random numbers will be generated if the same value of
SEED is used. It should be noted that there is no guarantee of statistical properties between sequences, only within sequences.
A definition of some of the terms used in this description, along with details of the various base generators can be found in the
G05 Chapter Introduction.
4 References
L'Ecuyer P and Simard R (2002)
TestU01: a software library in ANSI C for empirical testing of random number generators Departement d'Informatique et de Recherche Operationnelle, Universite de Montreal
http://www.iro.umontreal.ca/~lecuyer
Maclaren N M (1989) The generation of multiple independent sequences of pseudorandom numbers Appl. Statist. 38 351–359
Matsumoto M and Nishimura T (1998) Mersenne twister: a 623-dimensionally equidistributed uniform pseudorandom number generator ACM Transactions on Modelling and Computer Simulations
Wichmann B A and Hill I D (2006) Generating good pseudo-random numbers Computational Statistics and Data Analysis 51 1614–1622
Wikramaratna R S (1989) ACORN - a new method for generating sequences of uniformly distributed pseudo-random numbers Journal of Computational Physics 83 16–31
5 Parameters
- 1: GENID – INTEGERInput
On entry: must contain the type of base generator to use.
- NAG basic generator.
- Wichmann Hill I generator.
- Mersenne Twister.
- Wichmann Hill II generator.
- ACORN generator.
- L'Ecuyer MRG32k3a generator.
Constraint:
, , , , or .
- 2: SUBID – INTEGERInput
On entry: if
,
SUBID indicates which of the
sub-generators to use. In this case, the
sub-generator is used.
If
,
SUBID indicates the values of
and
to use, where
is the order of the generator, and
controls the size of the modulus,
, with
. If
, the default values of
and
are used, otherwise values for
and
are calculated from the formula,
.
If
and
the range of the generator is set to
, otherwise the range is set to
; in this case the sequence is identical to the implementation of MRG32k3a in TestU01 (see
L'Ecuyer and Simard (2002)) for identical seeds.
For all other values of
GENID,
SUBID is not referenced.
- 3: SEED(LSEED) – INTEGER arrayInput
On entry: the initial (seed) values for the selected base generator. The number of initial values required varies with each of the base generators.
If , one seed is required.
If , four seeds are required.
If , seeds are required.
If , four seeds are required.
If
,
seeds are required, where
and
are defined by
SUBID. For the ACORN generator it is recommended that an odd value is used for
.
If , six seeds are required.
If insufficient seeds are provided then the first
values supplied in
SEED are used and the remaining values are randomly generated using the NAG basic generator. In such cases the NAG basic generator is initialized using the value supplied in
.
Constraint:
, for .
- 4: LSEED – INTEGERInput
On entry: the size of the
SEED array.
Constraint:
.
- 5: STATE(LSTATE) – INTEGER arrayCommunication Array
On exit: contains information on the selected base generator and its current state.
- 6: LSTATE – INTEGERInput/Output
On entry: the dimension of the
STATE array, or a value
. If the Mersenne Twister (
) is being used and the skip ahead routine
G05KJF or
G05KKF will be called subsequently, then you must ensure that
.
On exit: if
on entry, then the required length of the
STATE array for the chosen base generator, otherwise
LSTATE is unchanged. When
(Mersenne Twister) a value of
is returned, allowing for the skip ahead routine to be subsequently called. In all other cases the minimum length, as documented in the constraints below, is returned.
Constraints:
- if , ;
- if , ;
- if , ;
- if , ;
- if , , where and are defined by SUBID;
- if , ;
- otherwise .
- 7: IFAIL – INTEGERInput/Output
On entry:
IFAIL must be set to
,
. If you are unfamiliar with this parameter you should refer to
Section 3.3 in the Essential Introduction for details.
On exit:
or
unless the routine detects an error or a warning has been flagged (see
Section 6).
For environments where it might be inappropriate to halt program execution when an error is detected, the value
is recommended. If the output of error messages is undesirable, then the value
is recommended. Otherwise, if you are not familiar with this parameter, the recommended value is
.
When the value is used it is essential to test the value of IFAIL on exit.
6 Error Indicators and Warnings
If on entry
or
, explanatory error messages are output on the current error message unit (as defined by
X04AAF).
Errors or warnings detected by the routine:
Minimum length for
STATE array returned in parameter
LSTATE but
STATE array not initialized.
On entry, , , , , or .
On entry, for at least one .
On entry, .
On entry,
and
LSTATE is too small for specified base generator.
7 Accuracy
Not applicable.
None.
9 Example
This example prints the first five pseudorandom real numbers from a uniform distribution between
and
, generated by
G05SAF after initialization by G05KFF.
9.1 Program Text
Program Text (g05kffe.f90)
9.2 Program Data
Program Data (g05kffe.d)
9.3 Program Results
Program Results (g05kffe.r)