Fast, easy automatic differentiation in C++
automatic differentiation made easier for C++
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 📐
C++ modules for scalar, vector and complex math. And maths.
الميزات الرئيسية لـ sebsjames/maths هي: Mathematical Libraries.
تشمل البدائل مفتوحة المصدر لـ sebsjames/maths: auburns/fastnoisesimd — C++ SIMD Noise Library. auto-differentiation/xad — Fast, easy automatic differentiation in C++. autodiff/autodiff — automatic differentiation made easier for C++. b-k/apophenia — A C library for statistical and scientific computing. boostorg/multiprecision — Boost.Multiprecision. ashvardanian/numkong — SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit…
