wblrnd — Generate Weibull-distributed random samples.

wblrnd(a,b) generates Weibull random samples with scale parameter a and shape parameter b. Size-vector and dimension-list forms are supported.

Syntax

r = wblrnd(a, b)
r = wblrnd(a, b, sz)
r = wblrnd(a, b, sz1, sz2, ...)

Inputs

NameTypeRequiredDefaultDescription
aAnyYesFirst distribution parameter.
bAnyYesSecond distribution parameter.
szAnyVariadicOutput size arguments.

Returns

NameTypeDescription
rNumericArrayRandom sample array.

Errors

IdentifierWhenMessage
RunMat:wblrnd:InvalidArgumentInput parameters or size arguments are missing, malformed, or incompatible.distribution random: invalid argument
RunMat:wblrnd:InternalInternal tensor conversion, allocation, or RNG state access fails.distribution random: internal error

How wblrnd works

  • a and b support scalar expansion and matching array shapes.
  • Without explicit size arguments, the output shape is the scalar-expanded parameter shape.
  • With explicit size arguments, nonscalar parameters must match the requested shape.
  • a and b must be positive.

Example

Generate Weibull samples

r = wblrnd(4,3,[2 3])

Using wblrnd with coding agents

Open a RunMat example with live inputs, then ask the agent to explain how wblrnd changes the result.

Run a small wblrnd example, explain the result, then change one input and compare the output.

FAQ

How are samples generated?

RunMat uses inverse-transform sampling with a * (-log(U))^(1/b) and the shared RunMat RNG.

Open-source implementation

Unlike proprietary runtimes, every RunMat function is open-source. Read exactly how wblrnd is executed, line by line, in Rust.

About RunMat

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