stdlib-js

stdlib-js/math-base-special-gammain...

Incomplete gamma function.

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Support the dependencies of stdlib-js/math-base-special-gammainc

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Arbitrary constant `g` to be used in Lanczos approximation functions.
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Maximum double-precision floating-point number.
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Double-precision floating-point positive infinity.
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Square root of double-precision floating-point epsilon.
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Compute the absolute value of a double-precision floating-point number.
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Natural exponential function.
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Round a double-precision floating-point number toward negative infinity.
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Natural logarithm of the gamma function.
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Evaluate the natural logarithm of a double-precision floating-point number.
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Evaluate the natural logarithm of 1+x.
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Return the maximum value.
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Return the minimum value.
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Exponential function.
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Compute the principal square root of a double-precision floating-point number.
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Compute the sum of an infinite series.
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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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Write data to a file.
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Test if a double-precision floating-point numeric value is finite.
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Test if a double-precision floating-point numeric value is NaN.
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Compile a module for evaluating a polynomial.
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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.
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Benchmark harness.
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Natural logarithm of the maximum double-precision floating-point number.
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Natural logarithm of the smallest normalized double-precision floating-point number.
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Complementary error function.
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Calculate a scaled Lanczos sum for the approximation of the gamma function.
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Continued fraction approximation.
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Evaluate a polynomial using double-precision floating-point arithmetic.

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