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 ...

One popular approach for matrix completion is based on low-rank matrix factorization, but it requires knowing the matrix rank, which is difficult to accurately determine in many practical scenarios.

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.

Feature or enhancement Proposal: Currently, sum() builtin lacks any specialization for complex numbers, yet it's usually faster than better pure-python alternatives. benchmark sum() wrt pure-python ...

LeetCode Two Sum O (n²) and O (n) Given an array of integers nums and an integer target, return indices of the two numbers such that they add up to target. You may assume that each input would have ...

Using NumPy for array and matrix math in Python Many mathematical operations, especially in machine learning or data science, involve working with matrixes, or lists of numbers.

This paper presents an 8-element phased array system and proposes a novel beam control method—namely, matrix-sum method—that can achieve beam steering and beam- ...

NumPy is known for being fast, but could it go even faster? Here’s how to use Cython to accelerate array iterations in NumPy. NumPy gives Python users a wickedly fast library for working with ...