laruv(3) | LAPACK | laruv(3) |
laruv - laruv: random uniform vector
subroutine dlaruv (iseed, n, x)
DLARUV returns a vector of n random real numbers from a uniform
distribution. subroutine slaruv (iseed, n, x)
SLARUV returns a vector of n random real numbers from a uniform
distribution.
DLARUV returns a vector of n random real numbers from a uniform distribution.
Purpose:
DLARUV returns a vector of n random real numbers from a uniform (0,1) distribution (n <= 128). This is an auxiliary routine called by DLARNV and ZLARNV.
Parameters
ISEED is INTEGER array, dimension (4) On entry, the seed of the random number generator; the array elements must be between 0 and 4095, and ISEED(4) must be odd. On exit, the seed is updated.
N
N is INTEGER The number of random numbers to be generated. N <= 128.
X
X is DOUBLE PRECISION array, dimension (N) The generated random numbers.
Author
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Further Details:
This routine uses a multiplicative congruential method with modulus 2**48 and multiplier 33952834046453 (see G.S.Fishman, 'Multiplicative congruential random number generators with modulus 2**b: an exhaustive analysis for b = 32 and a partial analysis for b = 48', Math. Comp. 189, pp 331-344, 1990). 48-bit integers are stored in 4 integer array elements with 12 bits per element. Hence the routine is portable across machines with integers of 32 bits or more.
SLARUV returns a vector of n random real numbers from a uniform distribution.
Purpose:
SLARUV returns a vector of n random real numbers from a uniform (0,1) distribution (n <= 128). This is an auxiliary routine called by SLARNV and CLARNV.
Parameters
ISEED is INTEGER array, dimension (4) On entry, the seed of the random number generator; the array elements must be between 0 and 4095, and ISEED(4) must be odd. On exit, the seed is updated.
N
N is INTEGER The number of random numbers to be generated. N <= 128.
X
X is REAL array, dimension (N) The generated random numbers.
Author
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Further Details:
This routine uses a multiplicative congruential method with modulus 2**48 and multiplier 33952834046453 (see G.S.Fishman, 'Multiplicative congruential random number generators with modulus 2**b: an exhaustive analysis for b = 32 and a partial analysis for b = 48', Math. Comp. 189, pp 331-344, 1990). 48-bit integers are stored in 4 integer array elements with 12 bits per element. Hence the routine is portable across machines with integers of 32 bits or more.
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