NAG FL Interface
g05tdf (int_​general)

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1 Purpose

g05tdf generates a vector of pseudorandom integers from a discrete distribution with a given PDF (probability density function) or CDF (cumulative distribution function) p.

2 Specification

Fortran Interface
Subroutine g05tdf ( mode, n, p, np, ip1, itype, r, lr, state, x, ifail)
Integer, Intent (In) :: mode, n, np, ip1, itype, lr
Integer, Intent (Inout) :: state(*), ifail
Integer, Intent (Out) :: x(n)
Real (Kind=nag_wp), Intent (In) :: p(np)
Real (Kind=nag_wp), Intent (Inout) :: r(lr)
C Header Interface
#include <nag.h>
void  g05tdf_ (const Integer *mode, const Integer *n, const double p[], const Integer *np, const Integer *ip1, const Integer *itype, double r[], const Integer *lr, Integer state[], Integer x[], Integer *ifail)
The routine may be called by the names g05tdf or nagf_rand_int_general.

3 Description

g05tdf generates a sequence of n integers xi, from a discrete distribution defined by information supplied in p. This may either be the PDF or CDF of the distribution. A reference vector is first set up to contain the CDF of the distribution in its higher elements, followed by an index.
Setting up the reference vector and subsequent generation of variates can each be performed by separate calls to g05tdf or may be combined in a single call.
One of the initialization routines g05kff (for a repeatable sequence if computed sequentially) or g05kgf (for a non-repeatable sequence) must be called prior to the first call to g05tdf.

4 References

Kendall M G and Stuart A (1969) The Advanced Theory of Statistics (Volume 1) (3rd Edition) Griffin
Knuth D E (1981) The Art of Computer Programming (Volume 2) (2nd Edition) Addison–Wesley

5 Arguments

1: mode Integer Input
On entry: a code for selecting the operation to be performed by the routine.
mode=0
Set up reference vector only.
mode=1
Generate variates using reference vector set up in a prior call to g05tdf.
mode=2
Set up reference vector and generate variates.
mode=3
Generate variates without using the reference vector.
Constraint: mode=0, 1, 2 or 3.
2: n Integer Input
On entry: n, the number of pseudorandom numbers to be generated.
Constraint: n0.
3: p(np) Real (Kind=nag_wp) array Input
On entry: the PDF or CDF of the distribution.
Constraints:
  • 0.0p(i)1.0, for i=1,2,,np;
  • if itype=1, i=1 np p(i)=1.0;
  • if itype=2, p(i)<p(j), ​i<j​ and ​p(np)=1.0.
4: np Integer Input
On entry: the number of values supplied in p defining the PDF or CDF of the discrete distribution.
Constraint: np>0.
5: ip1 Integer Input
On entry: the value of the variate, a whole number, to which the probability in p(1) corresponds.
6: itype Integer Input
On entry: indicates the type of information contained in p.
itype=1
p contains a probability distribution function (PDF).
itype=2
p contains a cumulative distribution function (CDF).
Constraint: itype=1 or 2.
7: r(lr) Real (Kind=nag_wp) array Communication Array
On entry: if mode=1, the reference vector from the previous call to g05tdf.
On exit: the reference vector.
8: lr Integer Input
On entry: the dimension of the array r as declared in the (sub)program from which g05tdf is called.
Suggested values:
  • if mode3, lr=10+1.4×np approximately (for optimum efficiency in generating variates);
  • otherwise lr=1.
Constraints:
  • if mode=0 or 2, lrnp+8;
  • if mode=1, lr should remain unchanged from the previous call to g05tdf.
9: state(*) Integer array Communication Array
Note: the actual argument supplied must be the array state supplied to the initialization routines g05kff or g05kgf.
On entry: contains information on the selected base generator and its current state.
On exit: contains updated information on the state of the generator.
10: x(n) Integer array Output
On exit: contains n pseudorandom numbers from the specified discrete distribution.
11: ifail Integer Input/Output
On entry: ifail must be set to 0, −1 or 1 to set behaviour on detection of an error; these values have no effect when no error is detected.
A value of 0 causes the printing of an error message and program execution will be halted; otherwise program execution continues. A value of −1 means that an error message is printed while a value of 1 means that it is not.
If halting is not appropriate, the value −1 or 1 is recommended. If message printing is undesirable, then the value 1 is recommended. Otherwise, the value 0 is recommended. When the value -1 or 1 is used it is essential to test the value of ifail on exit.
On exit: ifail=0 unless the routine detects an error or a warning has been flagged (see Section 6).

6 Error Indicators and Warnings

If on entry ifail=0 or −1, explanatory error messages are output on the current error message unit (as defined by x04aaf).
Errors or warnings detected by the routine:
ifail=1
On entry, mode=value.
Constraint: mode=0, 1 or 2.
ifail=2
On entry, n=value.
Constraint: n0.
ifail=3
On entry, at least one element of the vector p is less than 0.0 or greater than 1.0.
On entry, itype=1 and the sum of the elements of p do not equal one.
On entry, itype=2 and the values of p are not all in stricly ascending order.
On entry, p(np)=value.
Constraint: if itype=2, p(np)=1.0.
ifail=4
On entry, np=value.
Constraint: np>0.
ifail=6
On entry, itype=value.
Constraint: itype=1 or 2.
ifail=7
On entry, some of the elements of the array r have been corrupted or have not been initialized.
The value of np or ip1 is not the same as when r was set up in a previous call.
Previous value of np=value and np=value.
Previous value of ip1=value and ip1=value.
ifail=8
On entry, lr is too small when mode=0 or 2: lr=value, minimum length required =value.
ifail=9
On entry, state vector has been corrupted or not initialized.
ifail=-99
An unexpected error has been triggered by this routine. Please contact NAG.
See Section 7 in the Introduction to the NAG Library FL Interface for further information.
ifail=-399
Your licence key may have expired or may not have been installed correctly.
See Section 8 in the Introduction to the NAG Library FL Interface for further information.
ifail=-999
Dynamic memory allocation failed.
See Section 9 in the Introduction to the NAG Library FL Interface for further information.

7 Accuracy

Not applicable.

8 Parallelism and Performance

g05tdf is threaded by NAG for parallel execution in multithreaded implementations of the NAG Library.
Please consult the X06 Chapter Introduction for information on how to control and interrogate the OpenMP environment used within this routine. Please also consult the Users' Note for your implementation for any additional implementation-specific information.

9 Further Comments

None.

10 Example

This example prints 20 pseudorandom variates from a discrete distribution whose PDF, p, is defined as follows:
n p −5 0.01 −4 0.02 −3 0.04 −2 0.08 −1 0.20 -0 0.30 -1 0.20 -2 0.08 -3 0.04 -4 0.02 -5 0.01  
The reference vector is set up and and the variates are generated by a single call to g05tdf, after initialization by g05kff.

10.1 Program Text

Program Text (g05tdfe.f90)

10.2 Program Data

Program Data (g05tdfe.d)

10.3 Program Results

Program Results (g05tdfe.r)