Create an array containing pseudorandom numbers drawn from a Cauchy distribution.
JavaScript
1
0
Apache License 2.0
This package provides a function for creating arrays of pseudorandom numbers drawn from a Cauchy distribution, a probability distribution commonly used in statistics and data analysis. It is part of the stdlib JavaScript library, designed for numerical and scientific computing in web browsers and Node.js. The package is useful for developers needing to generate Cauchy-distributed random data for simulations, statistical modeling, or other numerical applications.
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Support the dependencies of stdlib-js/random-array-cauchy
Default array settings.
List of array data types.
Create a factory function for generating pseudorandom values drawn from a binary PRNG.
Cauchy distributed pseudorandom numbers.
stdlib TypeScript type declarations.
Define a non-enumerable read-only property.
Float32Array.
Float64Array.
Create an array filled with NaNs and having a specified length.
Uint32Array.
Create a zero-filled array having a specified length.
Test if a value is a Uint32Array.
Insert array element values into a format string and print the result.
Maximum unsigned 32-bit integer.
Test if a double-precision floating-point numeric value is NaN.
Test if a single-precision floating-point numeric value is NaN.
Exponential function.
A linear congruential pseudorandom number generator (LCG) based on Park and Miller.
tap-producing test harness for node and browsers
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Minimal TAP output formatter.
Benchmark harness.
Support the repos that depend on stdlib-js/random-array-cauchy
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