Create an iterator for generating pseudorandom numbers drawn from a Lévy distribution.
JavaScript
2
0
Apache License 2.0
This project provides an iterator for generating pseudorandom numbers drawn from a Lévy distribution, a continuous probability distribution often used in finance and physics. It's part of the stdlib JavaScript library, designed for numerical and scientific computing, and is intended for developers who need to generate Lévy-distributed random numbers in their applications, particularly those working in fields like finance, physics, or statistics.
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Support the dependencies of stdlib-js/random-iter-levy
Test if an object has a specified property.
Test if a value is a number having a nonnegative integer value.
Test if a value is a number.
Test if a value is a plain object.
Test if a value is a number having a positive value.
Maximum double-precision floating-point number.
Test if a double-precision floating-point numeric value is NaN.
Copy enumerable own properties from one or more source objects to a target object.
Lévy distributed pseudorandom numbers.
Insert supplied variable values into a format string.
Symbol iterator.
stdlib TypeScript type declarations.
Constant function.
Define a non-enumerable read-only accessor.
Define a non-enumerable read-only property.
Define a non-enumerable read-write accessor.
Function which does nothing.
Format an error message for production.
Uint32Array.
Test if a value is a Uint32Array.
Difference between one and the smallest value greater than one that can be represented as a double-precision floating-point number.
Maximum unsigned 32-bit integer.
A linear congruential pseudorandom number generator (LCG) based on Park and Miller.
Uniformly distributed pseudorandom numbers between 0 and 1.
Time in seconds since the epoch.
Proxies nodejs require in order to allow overriding dependencies during testing.
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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