98 packages returned for Tags:"algebra"

C# bindings for NumPy on Win64 - a fundamental library for scientific computing, machine learning and AI. Does require Python 3.8 with NumPy 1.16 installed!

.NET library providing reusable math classes.

Intel MKL native libraries for Math.NET Numerics on Linux.

Bright Wire CUDA adds GPU support to Bright Wire. This lets you run Bright Wire machine learning on a Maxwell or better NVIDIA GPU.

C# bindings for NumPy - a fundamental library for scientific computing, machine learning and AI. Does not require a local Python installation!

Foundational classes for financial, engineering, and scientific applications, including complex number classes, general vector and matrix classes, structured sparse matrix classes and factorizations, general sparse matrix classes and factorizations, general matrix decompositions, least squares... More information

Sequential implementation of linear algebra operations with double precision floating point value elements.

Contains a matrix and a vector with methods for algebraic operations.

C#/.NET math library for small vectors and matrices. Supported types: vec2, vec3, vec4, quat, mat2, mat3, mat4, non-quadratic mats. Supported base types: int, uint, long, float, double, decimal, complex, long, bool, generic T. Supports swizzling, operator overloads, numerous functions. Supports... More information

Function programming goodness: algebraic structures, Maybe, Either, Unit, State, Writer, Functor, Monad, Monoid, Lenses, and more.

Intel MKL native libraries for Math.NET Numerics on Windows.

C# bindings for NumPy on Linux - a fundamental library for scientific computing, machine learning and AI. Does require Python 3.8 with NumPy 1.16 installed!

C# bindings for NumPy on OSX - a fundamental library for scientific computing, machine learning and AI. Does require Python 3.8 with NumPy 1.16 installed!

A c# library that makes algebra easier to do

For searching roots of polinoms by their coefficients

Native DLLs for LAPACKE

Sequential implementation of linear algebra operations with double precision floating point value elements.

Enables to work with formulas built in the code or from a string. Computing, derivating, latex rendering, fast functions, solving equations and systems of equations analytycally, simplification, and much more.

Common linear algebra library.

Library to make simple operations