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 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 Generated automatically by Doxygen for LAPACK from the source code. LAPACK Version 3.12.0 larnv(3)