stdlib-js

stdlib-js/constants-float64-eps

Difference between one and the smallest value greater than one that can be represented as a double-precision floating-point number.

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Support the dependencies of stdlib-js/constants-float64-eps

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Load a manifest for compiling source files.
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Compute the absolute value of a double-precision floating-point number.
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Return the maximum value.
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Exponential function.
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Uniformly distributed pseudorandom numbers between 0 and 1.
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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.

Support the repos that depend on stdlib-js/constants-float64-eps

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Compute the ratio of two gamma functions.
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Compute the sum of an infinite series.
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Inverse incomplete beta function.
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Incomplete beta function and its first derivative.
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Continued fraction approximation.
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Weibull distribution moment-generating function (MGF).
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Relative error exponential.
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Beta distribution moment-generating function (MGF).
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Compute the Jacobi elliptic functions sn, cn, and dn.
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Divide two complex numbers.
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Evaluate the terms of a continued fraction.
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Compute the relative difference of two real numbers in units of double-precision floating-point epsilon.
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Compute the inverse of a double-precision complex floating-point number.
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Create an iterator which generates a list of all continued fraction terms which can be obtained given the precision of a provided number.
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Double-precision floating-point mathematical constants.
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Two-dimensional kernel density estimation.

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