Skip to Content
Math Optimization for Artificial Intelligence
book

Math Optimization for Artificial Intelligence

by Umesh Kumar Lilhore, Vishal Dutt, T. Ananth Kumar, Martin Margala, Kaamran Raahemifar
April 2025
Intermediate to advanced
430 pages
14h 52m
English
De Gruyter

Overview

The "Mathematical Methods in the Digital Age" (MMDA) series explores the intersection of mathematics and digital technology. Edited and authored by leading experts, it addresses the impact of digital advancements on mathematical theory and practice. Covering topics like algorithmic processes, computational techniques, and data analysis, the series bridges traditional mathematics with modern digital tools.

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

AirBnbBlueOriginElectronic ArtsHomeDepotNasdaqRakutenTata Consultancy Services

QuotationMarkO’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
QuotationMarkI wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
Addison B.
Field Engineer
QuotationMarkI’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
QuotationMarkI'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Mark W.
Embedded Software Engineer

You might also like

The Mathematics of Machine Learning

The Mathematics of Machine Learning

Maria Han Veiga, François Gaston Ged
Machine Learning for Tabular Data

Machine Learning for Tabular Data

Luca Massaron, Mark Ryan

Publisher Resources

ISBN: 9783111436241