stdlib-js

stdlib-js/math-base-special-pow

Exponential function.

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Apache License 2.0
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Support the dependencies of stdlib-js/math-base-special-pow

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The bias of a double-precision floating-point number's exponent.
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High word mask for excluding the sign bit of a double-precision floating-point number.
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Natural logarithm of 2.
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Double-precision floating-point negative infinity.
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Double-precision floating-point positive infinity.
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Test if a double-precision floating-point numeric value is infinite.
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Test if a double-precision floating-point numeric value is NaN.
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C APIs for registering a Node-API module exporting an interface for invoking a binary numerical function.
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Compute the absolute value of a double-precision floating-point number.
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Multiply a double-precision floating-point number by an integer power of two.
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Compute the principal square root of a double-precision floating-point number.
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Return an unsigned 32-bit integer corresponding to the more significant 32 bits of a double-precision floating-point number.
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Set the more significant 32 bits of a double-precision floating-point number.
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Split a double-precision floating-point number into a higher order word and a lower order word.
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Convert an unsigned 32-bit integer to a signed 32-bit integer.
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Load a manifest for compiling source files.
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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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Read the entire contents of a file.
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Write data to a file.
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Test if a double-precision floating-point numeric value is negative zero.
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Test if a double-precision floating-point numeric value is positive zero.
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Round a numeric value to the nearest integer.
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Compile a module for evaluating a polynomial.
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Compile a C function for evaluating a polynomial.
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Uniformly distributed pseudorandom numbers between 0 and 1.
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Insert supplied variable values into a format string.
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Return the part of a string after a specified substring.
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Return the part of a string before a specified substring.
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Wrap `require` in a try/catch block.
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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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Test if a finite double-precision floating-point number is an integer.
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High word mask for the significand of a double-precision floating-point number.
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Test if a finite numeric value is an odd number.
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Return a double-precision floating-point number with the magnitude of x and the sign of y.
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Set the less significant 32 bits of a double-precision floating-point number.
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Maximum safe double-precision floating-point integer.

Support the repos that depend on stdlib-js/math-base-special-pow

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Round a double-precision floating-point number to the nearest multiple of 10^n.
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Gamma distributed pseudorandom numbers.
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Beta distributed pseudorandom numbers.
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Kumaraswamy's double bounded distributed pseudorandom numbers.
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Incomplete gamma function.
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Natural logarithm of the beta function.
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Binomial distributed pseudorandom numbers.
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Weibull distributed pseudorandom numbers.
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Round a numeric value to the nearest power of two toward positive infinity.
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Student's t distribution cumulative distribution function (CDF).
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Arcsine distributed pseudorandom numbers.
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Fréchet distributed pseudorandom numbers.
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Compute the ratio of two gamma functions.
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Pareto (Type I) distributed pseudorandom numbers.
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Inverse incomplete gamma function.
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Inverse incomplete beta function.
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Gamma distribution logarithm of probability density function (PDF).
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Incomplete beta function and its first derivative.
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Gamma distribution probability density function (PDF).
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Fréchet distribution logarithm of probability density function (PDF).
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Kumaraswamy's double bounded distribution cumulative distribution function (CDF).
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Triangular distribution cumulative distribution function (CDF).
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Round a numeric value to the nearest number toward negative infinity with N significant figures.
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Round a double-precision floating-point number to the nearest multiple of 10^n toward negative infinity.
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Negative binomial distribution probability mass function (PMF).
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Round a numeric value to the nearest number with N significant figures.
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Round a numeric value to the nearest number toward positive infinity with N significant figures.
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Weibull distribution cumulative distribution function (CDF).
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Pareto (Type I) distribution cumulative distribution function (CDF).
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Evaluate Binet's formula extended to real numbers.
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Geometric distribution probability mass function (PMF).
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Rayleigh distribution cumulative distribution function (CDF).

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