stdlib-js

stdlib-js/random-base-box-muller

Normally distributed pseudorandom numbers using the Box-Muller transform.

JavaScript
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Apache License 2.0
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Return a JSON representation of a typed array.
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Test if an object has a specified property.
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Test if a value is a boolean.
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Test if a value is a function.
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Test if a value is a plain object.
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Test if a value is a Uint32Array.
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Compute the cosine of a number.
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Evaluate the natural logarithm of a double-precision floating-point number.
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Compute the sine of a number.
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Compute the principal square root of a double-precision floating-point number.
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A 32-bit Mersenne Twister pseudorandom number generator.
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Insert supplied variable values into a format string.
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stdlib TypeScript type declarations.
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Define a non-enumerable read-only accessor.
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Define a non-enumerable read-only property.
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Define a non-enumerable read-write accessor.
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Function which does nothing.
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Format an error message for production.
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Maximum unsigned 32-bit integer.
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Test if a double-precision floating-point numeric value is NaN.
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Object containing the user environment.
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A linear congruential pseudorandom number generator (LCG) based on Park and Miller.
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A linear congruential pseudorandom number generator (LCG) whose output is shuffled.
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One-sample Kolmogorov-Smirnov goodness-of-fit test.
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Time in seconds since the epoch.
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tap-producing test harness for node and browsers
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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
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Minimal TAP output formatter.
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Benchmark harness.

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