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sloisel/numeric

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View on GitHub↗
1,447 stars·172 forks·JavaScript·1 vuewww.numericjs.com↗

Numeric

This library is a JavaScript-based numerical analysis tool designed to perform complex mathematical operations directly within web browser environments. It provides a comprehensive suite of algorithms for linear algebra, matrix manipulation, and equation solving, enabling data-intensive computations to occur locally without requiring server-side processing.

The project distinguishes itself by offering a specialized computational engine that handles advanced mathematical tasks such as gradient-based function optimization and iterative numerical approximation. By utilizing quadrature-based integration and modular functional decomposition, it allows for the precise calculation of definite integrals and the solving of non-linear systems.

Beyond its core linear algebra capabilities, the library supports a broad range of numerical analysis functions, including matrix inversions, determinants, and vector transformations. These tools are structured to facilitate the development of scientific and data-driven applications that require reliable, high-speed mathematical processing.

Features

  • Numerical Libraries - Provides a collection of mathematical functions for performing linear algebra, matrix manipulation, and equation solving in the browser.
  • Linear Algebra Routines - Computes matrix inversions, determinants, and decompositions to solve systems of linear equations and perform vector transformations.
  • Browser-Side Mathematical Engines - Executes heavy mathematical workloads directly within the browser to avoid server-side latency.
  • Gradient Descent Algorithms - Adjusts function parameters iteratively by following the slope of the mathematical landscape to locate optimal minimum or maximum values.
  • Iterative Refinement Methods - Refines mathematical solutions through successive cycles of calculation to converge on accurate results for non-linear equations.
  • Numerical Function Optimization - Identifies minimum or maximum values of mathematical functions by applying gradient-based or heuristic search algorithms.
  • Numerical Integration Engines - Provides a suite of quadrature techniques for calculating definite integrals and solving differential equations through numerical approximation.
  • Numerical Integration Methods - Calculates definite integrals and solves differential equations through numerical approximation techniques.
  • Numerical Analysis Toolkits - Performs complex mathematical operations including matrix manipulation and equation solving directly within the browser.
  • Numerical Integration Routines - Calculates definite integrals of functions using various quadrature techniques to determine areas under curves.
  • Mathematical Libraries - Provides a collection of gradient-based and heuristic search algorithms for finding the minimum or maximum values of mathematical functions.
  • Numerical Problem Solving - Finds roots of functions and solves systems of non-linear equations using iterative numerical methods.
  • Numerical Quadrature - Approximates the area under mathematical curves by summing weighted function values at discrete intervals to solve definite integrals.
  • Typed Array Matrix Containers - Provides memory-efficient matrix storage using flat typed arrays for high-speed numerical access.
  • Objective Decompositions - Breaks down complex mathematical problems into modular, reusable sub-routines for independent linear algebra and calculus operations.

Historique des stars

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Questions fréquentes

Que fait sloisel/numeric ?

This library is a JavaScript-based numerical analysis tool designed to perform complex mathematical operations directly within web browser environments. It provides a comprehensive suite of algorithms for linear algebra, matrix manipulation, and equation solving, enabling data-intensive computations to occur locally without requiring server-side processing.

Quelles sont les fonctionnalités principales de sloisel/numeric ?

Les fonctionnalités principales de sloisel/numeric sont : Numerical Libraries, Linear Algebra Routines, Browser-Side Mathematical Engines, Gradient Descent Algorithms, Iterative Refinement Methods, Numerical Function Optimization, Numerical Integration Engines, Numerical Integration Methods.

Quelles sont les alternatives open-source à sloisel/numeric ?

Les alternatives open-source à sloisel/numeric incluent : mathnet/mathnet-numerics — This project is a numerical computing library designed for scientific and engineering mathematical operations. It… fastai/numerical-linear-algebra — This project is a comprehensive library for numerical linear algebra and scientific computing, designed to provide… fortran-lang/stdlib — This project is a community-driven standard library for the Fortran programming language, providing a comprehensive… dpilger26/numcpp — NumCpp is a C++ framework and numerical computing library that provides a toolkit for multi-dimensional array… zalo/mathutilities — MathUtilities is a collection of specialized toolkits providing engines for geometry, computer vision, mathematics,… joelgrus/data-science-from-scratch — This project is a collection of foundational machine learning algorithms and data science tools implemented in Python.…