table of contents
larnv(3) | Library Functions Manual | larnv(3) |
NAME¶
larnv - larnv: random vector
SYNOPSIS¶
Functions¶
subroutine CLARNV (idist, iseed, n, x)
CLARNV returns a vector of random numbers from a uniform or normal
distribution. subroutine DLARNV (idist, iseed, n, x)
DLARNV returns a vector of random numbers from a uniform or normal
distribution. subroutine SLARNV (idist, iseed, n, x)
SLARNV returns a vector of random numbers from a uniform or normal
distribution. subroutine ZLARNV (idist, iseed, n, x)
ZLARNV returns a vector of random numbers from a uniform or normal
distribution.
Detailed Description¶
Function Documentation¶
subroutine CLARNV (integer idist, integer, dimension( 4 ) iseed, integer n, complex, dimension( * ) x)¶
CLARNV returns a vector of random numbers from a uniform or normal distribution.
Purpose:
!> !> CLARNV returns a vector of n random complex numbers from a uniform or !> normal distribution. !>
Parameters
!> IDIST is INTEGER !> Specifies the distribution of the random numbers: !> = 1: real and imaginary parts each uniform (0,1) !> = 2: real and imaginary parts each uniform (-1,1) !> = 3: real and imaginary parts each normal (0,1) !> = 4: uniformly distributed on the disc abs(z) < 1 !> = 5: uniformly distributed on the circle abs(z) = 1 !>
ISEED
!> 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. !>
X
!> X is COMPLEX array, dimension (N) !> The generated random numbers. !>
Author
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Further Details:
!> !> This routine calls the auxiliary routine SLARUV to generate random !> real numbers from a uniform (0,1) distribution, in batches of up to !> 128 using vectorisable code. The Box-Muller method is used to !> transform numbers from a uniform to a normal distribution. !>
Definition at line 98 of file clarnv.f.
subroutine DLARNV (integer idist, integer, dimension( 4 ) iseed, integer n, double precision, dimension( * ) x)¶
DLARNV returns a vector of random numbers from a uniform or normal distribution.
Purpose:
!> !> DLARNV returns a vector of n random real numbers from a uniform or !> normal distribution. !>
Parameters
!> IDIST is INTEGER !> Specifies the distribution of the random numbers: !> = 1: uniform (0,1) !> = 2: uniform (-1,1) !> = 3: normal (0,1) !>
ISEED
!> 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. !>
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 calls the auxiliary routine DLARUV to generate random !> real numbers from a uniform (0,1) distribution, in batches of up to !> 128 using vectorisable code. The Box-Muller method is used to !> transform numbers from a uniform to a normal distribution. !>
Definition at line 96 of file dlarnv.f.
subroutine SLARNV (integer idist, integer, dimension( 4 ) iseed, integer n, real, dimension( * ) x)¶
SLARNV returns a vector of random numbers from a uniform or normal distribution.
Purpose:
!> !> SLARNV returns a vector of n random real numbers from a uniform or !> normal distribution. !>
Parameters
!> IDIST is INTEGER !> Specifies the distribution of the random numbers: !> = 1: uniform (0,1) !> = 2: uniform (-1,1) !> = 3: normal (0,1) !>
ISEED
!> 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. !>
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 calls the auxiliary routine SLARUV to generate random !> real numbers from a uniform (0,1) distribution, in batches of up to !> 128 using vectorisable code. The Box-Muller method is used to !> transform numbers from a uniform to a normal distribution. !>
Definition at line 96 of file slarnv.f.
subroutine ZLARNV (integer idist, integer, dimension( 4 ) iseed, integer n, complex*16, dimension( * ) x)¶
ZLARNV returns a vector of random numbers from a uniform or normal distribution.
Purpose:
!> !> ZLARNV returns a vector of n random complex numbers from a uniform or !> normal distribution. !>
Parameters
!> IDIST is INTEGER !> Specifies the distribution of the random numbers: !> = 1: real and imaginary parts each uniform (0,1) !> = 2: real and imaginary parts each uniform (-1,1) !> = 3: real and imaginary parts each normal (0,1) !> = 4: uniformly distributed on the disc abs(z) < 1 !> = 5: uniformly distributed on the circle abs(z) = 1 !>
ISEED
!> 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. !>
X
!> X is COMPLEX*16 array, dimension (N) !> The generated random numbers. !>
Author
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Further Details:
!> !> This routine calls the auxiliary routine DLARUV to generate random !> real numbers from a uniform (0,1) distribution, in batches of up to !> 128 using vectorisable code. The Box-Muller method is used to !> transform numbers from a uniform to a normal distribution. !>
Definition at line 98 of file zlarnv.f.
Author¶
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