This project evaluates Lucas polynomials, a mathematical sequence related to Fibonacci polynomials, for use in numerical and scientific computing. It's part of stdlib, a comprehensive JavaScript library for mathematical operations, and is designed for developers working on scientific or mathematical applications that require polynomial calculations.
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Compute the absolute value of a double-precision floating-point number.
Compute the binomial coefficient.
Round a double-precision floating-point number toward positive infinity.
Round a double-precision floating-point number toward negative infinity.
Exponential function.
Evaluate a polynomial using double-precision floating-point arithmetic.
stdlib TypeScript type declarations.
Define a non-enumerable read-only property.
Test if a double-precision floating-point numeric value is NaN.
Compute the nth Lucas number.
Compute the nth negaLucas number.
Round a numeric value to the nearest integer.
Uniformly distributed pseudorandom numbers between 0 and 1.
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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