The ' Strassen's algorithm ' announced in 1969 is widely known as an algorithm for calculating the matrix product at high speed.

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

Researchers at MIT's Computer Science & Artificial Intelligence Lab (CSAIL) have open-sourced Multiply-ADDitioN-lESS (MADDNESS), an algorithm that speeds up machine learning using approximate ...

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 ...

The algorithm minimizes the number of multiplications for matrix multiplication without commutativity for the special cases p = 1 or 2, n = 1, 2, ⋯ and p = 3, n = 3. It is shown that commutativity ...

A simple matrix formula is given for the observed information matrix when the EM algorithm is applied to categorical data with missing values. The formula requires only the design matrices, a matrix ...