Because this was a university project, the outputs do not only display the final matrix, but also some results in the middle of the algorithm. The Math library was not allowed, so the min, max and pow ...

Matrix-Multiplication-Algorithms This Java application implements three different algorithms for matrix multiplication: classic, naive divide-and-conquer, and Strassen's algorithm. The user can choose ...

Learn how to use the master theorem to simplify the analysis of algorithms that involve matrix multiplication, a common and costly operation.

High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning.

These include algorithms for solving linear systems, least squares problems, eigenvalue problems, and parallelization of Strassen’s matrix multiplication algorithm. In particular, not only does ...

What do encrypted messages, recognizing speech commands and running simulations to predict the weather have in common? They all rely on matrix multiplication for accurate calculations. DeepMind, an ...

A new research paper titled “Discovering faster matrix multiplication algorithms with reinforcement learning” was published by researchers at DeepMind. “Here we report a deep reinforcement learning ...

Can artificial intelligence (AI) create its own algorithms to speed up matrix multiplication, one of machine learning’s most fundamental tasks? Today, in a paper published in Nature, DeepMind ...