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De Gruyter Math Optimization for AI - Heuristic Methods Book

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Description

Explore advanced mathematical strategies with Math Optimization for Artificial Intelligence. This volume, published by De Gruyter, serves as the second entry in the Mathematical Methods in the Digital Age series. It focuses on heuristic and metaheuristic methods specifically designed for applications in robotics and machine learning. This book provides a technical look at optimization techniques that drive modern computing. By focusing on the mathematical foundations required for artificial intelligence, it offers a resource for those studying the intersection of math and digital technology. Whether you are researching machine learning algorithms or looking for optimization methods for robotic systems, this text covers the essential theoretical frameworks used in the field today. It is a specialized addition to the Mathematical Methods in the Digital Age collection, providing depth for readers interested in the mathematical side of AI development.

Key Features

Focuses on heuristic and metaheuristic methods for modern technical applications.

Addresses specific optimization needs for robotics and machine learning systems.

Part of the Mathematical Methods in the Digital Age series by De Gruyter.

Provides mathematical foundations for artificial intelligence research.

Designed for readers interested in computing, internet, and computer science.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
21 April 2025
Listed Since
09 August 2024

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