numbers/numbers.js
Numbers.js
numbers.js is a comprehensive mathematics library for JavaScript that provides a collection of advanced functions for scientific computing and data analysis. It is designed to handle complex mathematical operations through a modular architecture, offering tools for calculus, statistics, linear algebra, and prime number analysis.
The library distinguishes itself by providing explicit control over numerical precision, allowing users to define error thresholds and manage decimal accuracy to mitigate rounding discrepancies. This focus on precision is paired with a suite of computational tools that support both descriptive and inferential statistics, as well as matrix and vector manipulations for multidimensional data.
Beyond these core capabilities, the project includes methods for numerical calculus, such as estimating areas under curves, and various algorithms for prime number verification. The library is structured to support advanced mathematical analysis across both client-side and server-side environments.
Features
- JavaScript Math Libraries - Provides a comprehensive suite of advanced mathematical functions for scientific computing, statistics, and data analysis in JavaScript environments.
- Mathematical Analysis Toolkits - Provides a comprehensive suite of advanced mathematical functions for scientific computing and data analysis.
- Decimal Arithmetic Types - Allows configuration of decimal precision to mitigate floating-point rounding errors.
- Linear Algebra Libraries - Implements matrix and vector manipulation functions for performing arithmetic operations and transformations on multidimensional numerical data structures.
- Floating-Point Precision Utilities - Manages floating-point precision through utilities that ensure numerical stability and accuracy.
- Precision Arithmetic - Implements precision arithmetic to manage rounding errors and enforce consistent decimal accuracy in calculations.
- Statistical Analysis Libraries - Offers a computational toolkit for calculating descriptive and inferential statistics to summarize datasets and evaluate relationships between numerical variables.
- Numerical Statistics Analyzers - Analyzes numerical datasets by computing descriptive statistics and identifying data distributions.
- Linear Algebra Routines - Performs linear algebra computations including matrix operations and transformations.
- Iterative Refinement Methods - Provides iterative refinement methods to achieve high-precision results for complex mathematical functions.
- Matrix and Vector Construction - Provides utilities for constructing and manipulating matrices and vectors for linear algebra tasks.
- Complex and Modular Arithmetic - Executes complex arithmetic and algebraic operations including modular and complex number types.
- Integral Calculus - Computes mathematical integrals using numerical methods to estimate areas under curves.
- Statistical Moment Calculation - Calculates descriptive statistical moments and metrics to summarize numerical datasets.
- Prime Number Verifiers - Provides utilities to verify if integers are prime using various mathematical algorithms.
Star history
How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
