Even though the task of multiplying matrices appears to be rather straightforward, it can be quite challenging in practice. Many researchers have focused on how to effectively multiply two 2 by 2 ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Discover how nvmath-python leverages NVIDIA CUDA-X math libraries for high-performance matrix operations, optimizing deep learning tasks with epilog fusion, as detailed by Szymon Karpiński.

Learn how this popular Python library accelerates math at scale, especially when paired with tools like Cython and Numba.

Contribute to p9s/Float-Truncate development by creating an account on GitHub.

The large scale floating point matrix operations are widely used in numerical analysis, image processing and signal processing. This paper studies the design and implementation of the complex floating ...

…rintf()s, fixed vhelin#188 (macros truncate float parameters) but only when using ARGS and not when using argument numbers e.g. \1 ...