stdlib-js/blas-base-gcopy

stdlib TypeScript type declarations.

Define a non-enumerable read-only property.

Complex128Array.

Float64Array.

Test if a double-precision floating-point numeric value is NaN.

Exponential function.

Create an array containing pseudorandom numbers drawn from a discrete uniform distribution.

Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.

Reinterpret a Complex128Array as a Float64Array.

tap-producing test harness for node and browsers

Yet another JS code coverage tool that computes statement, line, function and branch coverage with module loader hooks to transparently add coverage when running tests. Supports all JS coverage use cases including unit tests, server side functional tests and browser tests. Built for scale

Minimal TAP output formatter.

Benchmark harness.

Convert an array-like object to an object likely to have the same "shape".

A 32-bit Mersenne Twister pseudorandom number generator.

Gamma distributed pseudorandom numbers.

A linear congruential pseudorandom number generator (LCG) whose output is shuffled.

A linear congruential pseudorandom number generator (LCG) based on Park and Miller.

Student's t-distributed pseudorandom numbers.

Beta distributed pseudorandom numbers.

Convert an array to an array of a different data type.

Negative binomial distributed pseudorandom numbers.

Assign element values from a broadcasted input array to corresponding elements in an output array.

Return a shallow copy of a portion of an array.

Incrementally partition data into `k` clusters.

One-sample and paired Student's t-Test.

Create a readable stream for generating pseudorandom numbers drawn from an F distribution.

Create a readable stream for generating pseudorandom numbers drawn from a chi distribution.

Create a readable stream for generating pseudorandom numbers drawn from a gamma distribution.

Create a readable stream for generating pseudorandom numbers drawn from a Weibull distribution.

Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution using the Improved Ziggurat algorithm.

Create a readable stream for generating pseudorandom numbers drawn from a hypergeometric distribution.

Create a readable stream for generating pseudorandom numbers drawn from a uniform distribution.

Create a readable stream for generating pseudorandom numbers drawn from an arcsine distribution.

Create a readable stream for generating pseudorandom numbers drawn from a Rayleigh distribution.

Create a readable stream for generating pseudorandom numbers drawn from a Lévy distribution.

Create a readable stream for generating pseudorandom numbers drawn from a lognormal distribution.

Create a readable stream for generating pseudorandom numbers drawn from a Gumbel distribution.

Create a readable stream for generating pseudorandom numbers drawn from a Pareto (Type I) distribution.

Create a readable stream for generating pseudorandom numbers drawn from a logistic distribution.

Create a readable stream for generating pseudorandom numbers drawn from a Fréchet distribution.

Create a readable stream for a 32-bit Mersenne Twister pseudorandom number generator.

Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution using the Box-Muller transform.

Create a readable stream for generating pseudorandom numbers drawn from an Erlang distribution.

Create a readable stream for generating pseudorandom numbers drawn from a beta prime distribution.

Create a readable stream for generating pseudorandom numbers drawn from a beta distribution.

Base (i.e., lower-level) basic linear algebra subprograms (BLAS).

Create a readable stream for generating pseudorandom numbers drawn from a Student's t distribution.

Create a readable stream for generating pseudorandom numbers drawn from a raised cosine distribution.

Create a readable stream for generating uniformly distributed pseudorandom numbers between 0 and 1.