SRC/slarnv.f(3)

🌸 NAME 🌸

SRC/slarnv.f — okay bestie, this page comes from the Library Functions Manual, and it’s all about SRC/slarnv.f. Keep it cute, keep it exact.

✨ SYNOPSIS ✨

🧚 Functions/Subroutines 🧚

subroutine slarnv (idist, iseed, n, x)

SLARNV returns a vector of random numbers from a uniform or normal distribution.

📚 Function/Subroutine Documentation 📚

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. That’s the whole purpose, no cap.

🧾 Parameters 🧾

• IDIST — is INTEGER. It specifies the distribution of the random numbers:
  • = 1: uniform (0,1)
  • = 2: uniform (-1,1)
  • = 3: normal (0,1)
• ISEED — is INTEGER array, dimension (4). On entry, this is 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 — is INTEGER. It’s the number of random numbers to be generated.
• X — is REAL array, dimension (N). These are 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.

🌟 Author 🌟

Generated automatically by Doxygen for LAPACK from the source code.

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