The stdlib-js/math-base-special-gamma project provides a JavaScript implementation of the gamma function, which extends the factorial function to real and complex numbers. It's designed for developers working on numerical and scientific computing applications in JavaScript, particularly those who need a robust, well-tested implementation of this mathematical function for use in browsers or Node.js environments.
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Support the dependencies of stdlib-js/math-base-special-gamma
The Euler-Mascheroni constant.
Double-precision floating-point negative infinity.
Double-precision floating-point positive infinity.
Square root of 2π.
Test if a finite double-precision floating-point number is an integer.
Test if a double-precision floating-point numeric value is NaN.
Test if a double-precision floating-point numeric value is negative zero.
C APIs for registering a Node-API module exporting an interface for invoking a unary numerical function.
Compute the absolute value of a double-precision floating-point number.
Natural exponential function.
Round a double-precision floating-point number toward negative infinity.
Exponential function.
Compute the sine of a number.
Load a manifest for compiling source files.
Generate a linearly spaced numeric array according to a provided increment.
Insert array element values and the result of a callback function into a format string and print the result.
Difference between one and the smallest value greater than one that can be represented as a double-precision floating-point number.
Arbitrary constant `g` to be used in Lanczos approximation functions.
Maximum double-precision floating-point number.
Natural logarithm of the maximum double-precision floating-point number.
Square root of double-precision floating-point epsilon.
Read the entire contents of a file.
Write data to a file.
Test if a finite numeric value is an odd number.
Calculate the Lanczos sum for the approximation of the gamma function.
Evaluate the natural logarithm of a double-precision floating-point number.
Return the maximum value.
Evaluate the signum function for a double-precision floating-point number.
Compute sin(πx).
Compile a module for evaluating a polynomial.
Compile a C function for evaluating a polynomial.
Compile a module for evaluating a rational function.
Compile a C function for evaluating a rational function.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
Insert supplied variable values into a format string.
Return the part of a string after a specified substring.
Return the part of a string before a specified substring.
Current year.
Wrap `require` in a try/catch block.
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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