This project provides a collection of basic mathematical tools for JavaScript, including polynomial evaluation, rational function approximation, continued fractions, and series summation. It's designed for developers working on numerical and scientific computing tasks in web browsers or Node.js environments who need reliable, high-performance mathematical operations.
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Support the dependencies of stdlib-js/math-base-tools
Continued fraction approximation.
Evaluate a polynomial using double-precision floating-point arithmetic.
Evaluate a polynomial using single-precision floating-point arithmetic.
Evaluate a rational function using double-precision floating-point arithmetic.
Evaluate a rational function using single-precision floating-point arithmetic.
Evaluate a Fibonacci polynomial.
Evaluate a physicist's Hermite polynomial.
Evaluate a Lucas polynomial.
Evaluate a normalized Hermite polynomial using double-precision floating-point arithmetic.
Evaluate a normalized Hermite polynomial using single-precision floating-point arithmetic.
Compute the sum of an infinite series.
Define a read-only property.
Float32Array.
Float64Array.
Create a zero-filled array having a specified length.
Detect native generator function support.
Check if the runtime is a web browser.
Test if a value is a number having an integer value.
Test if a value is a string.
Insert array element values into a format string and print the result.
Difference between one and the smallest value greater than one that can be represented as a single-precision floating-point number.
Smallest positive normalized single-precision floating-point number.
Difference between one and the smallest value greater than one that can be represented as a double-precision floating-point number.
Double-precision floating-point negative infinity.
Double-precision floating-point positive infinity.
Square root of 2.
Read the entire contents of a file.
Function constructor.
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 single-precision floating-point numeric value is NaN.
Compute the absolute value of a double-precision floating-point number.
Compute the absolute value of a single-precision floating-point number.
Compute the binomial coefficient.
Round a double-precision floating-point number toward positive infinity.
Compute the nth Fibonacci number.
Round a double-precision floating-point number toward negative infinity.
Evaluate the natural logarithm of 1+x.
Compute the nth Lucas number.
Compute the nth negaFibonacci number.
Compute the nth negaLucas number.
Exponential function.
Round a numeric value to the nearest integer.
Evaluate the tangent of a number.
Convert a double-precision floating-point number to the nearest single-precision floating-point number.
Create an array containing pseudorandom numbers drawn from a discrete uniform distribution.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
Discrete uniform distributed pseudorandom numbers.
Uniformly distributed pseudorandom numbers between 0 and 1.
Uniformly distributed pseudorandom numbers.
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