LAPACK development repository
- linear-algebra
- lapack
- blas
- lapacke
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LAPACK development repository
SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐
Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.
DirectXMath is an all inline SIMD C++ linear algebra library for use in games and graphics apps
A simple cross platform .NET API for Intel MKL
A framework for high-performance domain decomposition methods.
A math library for Haxe.
👩💻 Matrix and other math, accelerated by WebGPU and WASM
A powerful library extending VBA with over 100 functions for math, stats, finance, and data manipulation. It supports matrix operations, and user-defined functions, enhancing automation and analysis within Microsoft Office and LibreOffice environments for data management, financial calculations, an more.