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Springer Distributed Online Optimization and Game Theory - Springer

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£159.99 £151.99 £155.19 £158.39 £161.59 £164.79 £167.99 30 July 2026 15 August 2026 01 September 2026 18 September 2026 05 October 2026
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Description

Distributed Online Optimization and Game Theory by Springer offers a comprehensive exploration of advanced computational methods that combine distributed systems with online learning and game-theoretic principles. This technical resource is essential for researchers, academics, and professionals working in artificial intelligence, machine learning, and computer science who need to understand how autonomous agents and systems can make real-time decisions across decentralised networks. The book bridges theory and practical application, providing insights into algorithms and strategies for optimising performance in complex, dynamic environments where multiple entities interact competitively or collaboratively. Whether you are developing multi-agent systems, tackling scalability challenges in AI, or exploring theoretical foundations of distributed computing, this Springer publication delivers rigorous analysis and methodologies applicable to modern computational challenges.

Key Features

Springer published resource covering distributed systems, online optimisation algorithms, and game theory fundamentals.

Addresses real-time decision-making strategies for autonomous agents operating in decentralised network environments.

Combines theoretical frameworks with practical approaches to multi-agent interaction and competitive resource allocation.

Essential reference for AI and machine learning professionals developing scalable, distributed computing solutions.

Provides rigorous analysis of algorithmic methods for handling dynamic, interactive computational scenarios.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
13 July 2026
Listed Since
31 January 2026

Barcode

No barcode data available

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