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sloisel/numeric

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1,447 स्टार्स·172 फोर्क्स·JavaScript·1 व्यूwww.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.

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Numeric को शामिल करने वाली क्यूरेटेड खोजें

चुनिंदा कलेक्शन जहाँ Numeric दिखाई देता है।
  • Data processing library

Numeric के ओपन-सोर्स विकल्प

समान ओपन-सोर्स प्रोजेक्ट्स, जो Numeric के साथ साझा की गई सुविधाओं के आधार पर रैंक किए गए हैं।
  • mathnet/mathnet-numericsmathnet का अवतार

    mathnet/mathnet-numerics

    3,717GitHub पर देखें↗

    This project is a numerical computing library designed for scientific and engineering mathematical operations. It functions as a comprehensive linear algebra framework, a statistical analysis library, and a toolkit for mathematical optimization and numerical integration. The library is distinguished by its provider-based native acceleration, which allows managed code to be swapped for platform-native binary libraries to increase the performance of computationally intensive routines. It also supports a hybrid approach to matrix storage, implementing separate strategies for dense and sparse mat

    C#csharpdifferentiationfft
    GitHub पर देखें↗3,717
  • fastai/numerical-linear-algebrafastai का अवतार

    fastai/numerical-linear-algebra

    10,703GitHub पर देखें↗

    This project is a comprehensive library for numerical linear algebra and scientific computing, designed to provide optimized routines for matrix decomposition, statistical modeling, and high-performance data analysis. It serves as both a toolkit for solving complex linear systems and an educational resource for understanding the fundamental algorithms behind matrix factorizations and numerical solvers. The library distinguishes itself through a focus on randomized numerical linear algebra, utilizing probabilistic algorithms and approximate methods to perform dimensionality reduction and matri

    Jupyter Notebookalgorithmsdata-sciencedeep-learning
    GitHub पर देखें↗10,703
  • dpilger26/numcppdpilger26 का अवतार

    dpilger26/NumCpp

    3,963GitHub पर देखें↗

    NumCpp is a C++ framework and numerical computing library that provides a toolkit for multi-dimensional array management and mathematical routines. It functions as a C++ implementation of the NumPy ecosystem, offering a scientific computing framework for managing tensors and performing complex algebraic equations. The project enables high-performance array manipulation within a C++ environment without relying on a Python runtime. It distinguishes itself by providing a NumPy-like interface for executing linear algebra, managing multi-dimensional data structures, and performing numerical proces

    C++
    GitHub पर देखें↗3,963
  • fortran-lang/stdlibfortran-lang का अवतार

    fortran-lang/stdlib

    1,322GitHub पर देखें↗

    This project is a community-driven standard library for the Fortran programming language, providing a comprehensive collection of algorithms, data structures, and system utilities. It is designed to extend the language's native capabilities, offering a unified toolkit for scientific computing, numerical analysis, and general-purpose programming. The library distinguishes itself through a modular architecture that utilizes generic interface dispatch and compile-time specialization to ensure high performance across various data types. It provides standardized abstractions for external numerical

    Fortranblasfortranfortran-library
    GitHub पर देखें↗1,322
Numeric के सभी 30 विकल्प देखें→

अक्सर पूछे जाने वाले प्रश्न

sloisel/numeric क्या करता है?

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.

sloisel/numeric की मुख्य विशेषताएं क्या हैं?

sloisel/numeric की मुख्य विशेषताएं हैं: Numerical Libraries, Linear Algebra Routines, Browser-Side Mathematical Engines, Gradient Descent Algorithms, Iterative Refinement Methods, Numerical Function Optimization, Numerical Integration Engines, Numerical Integration Methods।

sloisel/numeric के कुछ ओपन-सोर्स विकल्प क्या हैं?

sloisel/numeric के ओपन-सोर्स विकल्पों में शामिल हैं: 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.…