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Vdt
Jul 20, 2023
Fast and inline implementations of mathematical functions
vectorised math
- A collection of fast and inline implementations of mathematical functions.
- The functions can be used in autovectorised loops.
- Double and single precision implementations are available.
- No overhead present, no intrinsics used.
- A scalar TT and array signature voidconst unsigned int,T,T are provided.
Born and developed at CERN, it is used, among the others, by LHC experiments and the Geant4 simulation toolkit.
Much of the VDT code is inspired by the well known Cephes mathematical library.
Checkout these related ports:
- Zn_poly - C library for polynomial arithmetic
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- Zegrapher - Software for plotting mathematical objects
- Zarray - Dynamically typed N-D expression system based on xtensor
- Z3 - Z3 Theorem Prover
- Yices - SMT solver
- Yacas - Yet Another Computer Algebra System
- Xtensor - Multi-dimensional arrays with broadcasting and lazy computing
- Xtensor-python - Python bindings for xtensor
- Xtensor-io - Xtensor plugin to read/write images, audio files, numpy npz and HDF5
- Xtensor-blas - BLAS extension to xtensor
- Xspread - Spreadsheet program for X and terminals
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- Xlife++ - XLiFE++ eXtended Library of Finite Elements in C++