DLARNV(3)

💅 NAME

ok so bestie, this is the manual for /home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/SRC/dlarnv.f — yes that is literally the whole name, it's giving "full government name on the birth certificate" energy 😭 but that's what the page says so we're keeping it, periodt.

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✨ SYNOPSIS

Functions/Subroutines

• subroutine DLARNV (idist, iseed, n, x) — DLARNV returns a vector of random numbers from a uniform or normal distribution. that's it, that's the vibe 🎲

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🦋 Function/Subroutine Documentation

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. no cap, that's literally her whole job 💖

🎀 Purpose:

!>
!> DLARNV returns a vector of n random real numbers from a uniform or
!> normal distribution.
!>

so you hand her n, she hands you n random real numbers, and the distribution is whatever you asked for. icon behavior honestly 👑

🌸 Parameters

• IDIST

!>          IDIST is INTEGER
!>          Specifies the distribution of the random numbers:
!>          = 1:  uniform (0,1)
!>          = 2:  uniform (-1,1)
!>          = 3:  normal (0,1)
!>

bestie this is the flavor selector 🍓 — IDIST is an INTEGER and it tells her which distribution you want:

• = 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.
!>

ISEED is an INTEGER array with dimension (4). On entry, it's the seed of the random number generator — and the rules are strict bestie, no negotiating: every element must be between 0 and 4095, and ISEED(4) must be odd 💀 don't fight her on this. On exit, the seed is updated, so you can chain calls together like the main character you are ✨

• N

!>          N is INTEGER
!>          The number of random numbers to be generated.
!>

N is an INTEGER, aka how many random numbers you want. that's the whole description, she's very direct 🎯

• X

!>          X is DOUBLE PRECISION array, dimension (N)
!>          The generated random numbers.
!>

X is a DOUBLE PRECISION array, dimension (N), and it catches the generated random numbers on her way out 🫶

👑 Author

• Univ. of Tennessee
• Univ. of California Berkeley
• Univ. of Colorado Denver
• NAG Ltd.

the whole friend group co-signed this one, we love a collaborative slay 🌈

⭐ 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.
!>

ok so the lore 🧚: 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. and for the normal girlies, the Box-Muller method is used to transform numbers from a uniform to a normal distribution. math ate, honestly 🔥

Definition at line 96 of file dlarnv.f.

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💜 Author

Generated automatically by Doxygen for LAPACK from the source code. (not a human, just a very diligent little robot 🎀)

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okay that's the whole page bestie, go forth and generate random numbers responsibly ✨💅🌸

sign-off szn: this little love letter is from LAPACK, Version 3.12.0, and it lives at /home/abui...RC/dlarnv.f(3) — mwah, bye 🫶💖