Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...

Google DeepMind today pulled the curtain back on AlphaEvolve, an artificial-intelligence agent that can invent brand-new computer algorithms — then put them straight to work inside the company's vast ...

Abstract: We further develop the group-theoretic approach to fast matrix multiplication introduced by Cohn and Umans, and for the first time use it to derive algorithms asymptotically faster than the ...

The looming challenges of quantum computing have prompted the Java Platform to implement two advanced cryptographic solutions in its upcoming release, Java 24, slated for March 2025. Quantum computers ...

ParserNG is a powerful , fast math expression parser that parses and evaluates math expressions, does differential calculus(symbolic) evaluations, numerical ...

:param matrix_a: A square Matrix. :param matrix_b: Another square Matrix with the same dimensions as matrix_a. :param result: Result matrix :param i: Index used for iteration during multiplication.

ABSTRACT: Embedded systems used in real-time applications require low power, less area and high computation speed. For digital signal processing, image processing and communication applications, data ...

Abstract: Summary form only given. We describe a novel parallel algorithm that implements a dense matrix multiplication operation with algorithmic efficiency equivalent to that of Cannon's algorithm.