Search Results for "loops"

With its updated version of Autograd, JAX can automatically differentiate native Python and NumPy functions. It can differentiate through loops, branches, recursion, and closures, and it can take derivatives of derivatives of derivatives. It supports reverse-mode differentiation (a.k.a. backpropagation) via grad as well as forward-mode differentiation, and the two can be composed arbitrarily to any order. What’s new is that JAX uses XLA to compile and run your NumPy programs on GPUs and TPUs. ...

MathFu is a small, header-only C++ math library optimized for games and real-time graphics on mobile and desktop. It provides fixed-size vector, matrix, and quaternion types with APIs that mirror the operations you actually use in inner loops—dot, cross, normalize, transforms, and projections. Implementations are carefully tuned to leverage SIMD instruction sets such as SSE and NEON while preserving a clean fallback path for portability. Because types are fixed at compile time, the compiler can aggressively inline and unroll code, producing predictable performance and tiny binaries. ...

PyGraphMath is a system for the manipulation of symbolic and numerical expr., equations, vectors .. (Maxima). Main focus lies on direct 3D graphical viewport (openGL) which displays math objects. Syntax is "pseudo-python" and supports objects, loops .. *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** OBSOLETE: please use instead http://www.sagemath.org/ with PyODE (or pyphyssim/PPE) *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** ***

Pari-Distributed is a mostly Erlang framework that lets you split up trivially parallelizable loops in GP across multiple nodes. Its goal is to dynamically manage a list of active nodes and split up work units fairly across remote nodes.