This is a JavaScript library for filling strided arrays with pseudorandom numbers drawn from a raised cosine distribution. It's part of stdlib, a numerical computing library for JavaScript and Node.js, and is designed for developers who need to generate random numbers following a specific statistical distribution for scientific computing or data analysis tasks.
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Support the dependencies of stdlib-js/random-strided-cosine
Test if an array-like object supports the accessor (get/set) protocol.
Raised cosine distributed pseudorandom numbers.
Apply a binary callback to elements in strided input arrays and assign results to elements in a strided output array.
Apply a nullary callback and assign results to elements in a strided output array.
stdlib TypeScript type declarations.
Define a non-enumerable read-only property.
Generate a linearly spaced numeric array.
Convert an array-like object to a minimal array-like object supporting the accessor protocol.
Generate a linearly spaced numeric array whose elements increment by 1 starting from zero.
Create a filled array.
Create a filled array according to a provided callback function.
Float64Array.
Create a zero-filled array having a specified length.
Insert array element values into a format string and print the result.
Test if a double-precision floating-point numeric value is NaN.
Test if a single-precision floating-point numeric value is NaN.
Exponential function.
Uniformly distributed pseudorandom numbers.
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 ca
Minimal TAP output formatter.
Benchmark harness.
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