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larnv - Man Page

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

          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 Tennessee

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

          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 Tennessee

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

          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 Tennessee

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

          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 Tennessee

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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Info

Tue Nov 28 2023 12:08:43 Version 3.12.0 LAPACK