Generate pseudorandom numbers drawn from an exponential distribution.
JavaScript
1
0
Apache License 2.0
This project is part of the stdlib JavaScript library and provides functionality to generate pseudorandom numbers following an exponential distribution. It's designed for developers working on numerical and scientific computing applications who need to generate exponentially distributed random numbers, with support for various output formats and customizable random number generation settings.
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Support the dependencies of stdlib-js/random-exponential
List of ndarray data types.
Exponentially distributed pseudorandom numbers.
Create a function for generating pseudorandom values drawn from a unary PRNG.
stdlib TypeScript type declarations.
Define a non-enumerable read-only property.
Create a filled array.
Uint32Array.
Test if a value is a function.
Test if a value is ndarray-like.
Test if two arguments are both Float64Arrays and have the same values.
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.
Compute the cube root of a double-precision floating-point number.
Round a double-precision floating-point number toward negative infinity.
Exponential function.
Compute the principal square root of a double-precision floating-point number.
Multidimensional arrays.
Test if an ndarray is read-only.
Convert a scalar value to a zero-dimensional ndarray.
Return the underlying data buffer of a provided ndarray.
Return the data type of a provided ndarray.
Return the number of elements in an ndarray.
Return the layout order of a provided ndarray.
List of ndarray orders.
Return the shape of a provided ndarray.
Convert an ndarray to a generic array.
Create a zero-filled ndarray having a specified shape and data type.
A linear congruential pseudorandom number generator (LCG) based on Park and Miller.
Insert supplied variable values into a format string.
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.
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stdlib-bot
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