Numerical analysis in javascript
Numerical analysis and number theory library for JavaScript
Practical numerical analysis in javascript
C-style programming language with numerical analysis features
Numerical analysis and number theory library for Node.js
CSL style for IMA Journal of Numerical Analysis
Lightweight numerical analysis C++ add-on for nodejs
Avgify provides user-friendly averaging solutions, simplifying the process of deriving means from data sets, ensuring efficiency and accuracy in your numerical analysis tasks.
A library for analysing JS RegExp
A library to find JS RegExp with super-linear worst-case time complexity for attack strings that repeat a single character.
Standard library statistical functions.
Parser adapter for parsing JSON documents into base namespace.
Parser adapter for parsing YAML documents into base namespace.
C APIs for registering a Node-API module exporting an interface for invoking a binary numerical function.
C APIs for registering a Node-API module exporting an interface for invoking a unary numerical function.
heap analysis plugins for memlab
Calculates an index based the average distances between points in the dataset, thereby providing inference as to whether the data is clustered, dispersed, or randomly distributed within the study area.
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Detect native Uint32Array support.
Define a non-enumerable read-only property.
Smallest positive double-precision floating-point normal number.
The bias of a double-precision floating-point number's exponent.
Detect native Symbol.toStringTag support.
The maximum biased base 2 exponent for a subnormal double-precision floating-point number.
A collection of algorithms for numerical analysis.
Integral computation, done in Rust!
Particle methods to solve 1D conservation laws
A package providing mathematical functions commonly used in science and engineering
A comprehensive scientific computing library for Rust, aiming for feature parity with NumPy and SymPy.
This is rssn-advanced: The next generation symbolic core of rssn.
This is a gem that is mainly for numerical analysis and especially for applications of numerical analysis with regards to univariate calculus. The future of this gem might entail expansion towards the world of matrix analysis and multivariate calculus, but the primary goal for the time being is univariate numerical calculus.
C based arrays and matrice aiming for performance
ALGLIB - is a multilingual collection of algorithms designed to solve problems in the field of numeric analysis and data processing. ALGLIB is distributed under a 3-clause BSD license. This license is unrestrictive and allows using the package both in open and proprietary programs and even relicensing the code (if the new license doesn't conflict with the terms of the 3-clause BSD license).
Ruby/CArray is an extension library for the multi-dimensional numerical array class. The name "CArray" comes from the meaning of a wrapper to a numerical array handled by the C language. CArray stores integers or floating-point numbers in memory block and treats them collectively to ensure efficient performance. Therefore, Ruby/CArray is suitable for numerical computation and data analysis.
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