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textbook provides an up-to-date introduction both to the topic, and to the theory behind the algorithms. The clear presentation makes the book;
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This introduction to the mathematical foundations and theory of distributed computing is theoretical in nature, describing algorithms and;
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networks, providing an in-depth analysis of cutting-edge distributed algorithms, as well as of relevant sequential algorithms. In addition to;
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This self-contained introduction to the distributed control of robotic networks offers a distinctive blend of computer science and control;
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. This book constitutes an introduction to distributed computing and is suitable for advanced undergraduate students or graduate students;
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Distributed Computing is rapidly becoming the principal computing paradigm in diverse areas of computing, communication, and control;
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A comprehensive guide to distributed algorithms that emphasizes examples and exercises rather than mathematical argumentation. This book;
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to be discovered. Table of Contents: Introduction / Routing in a Graph: Correctness / Routing in a Graph: Complexity / Routing and Leader;
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introduction to the science of distributed computing, with applications in all domains of distributed systems, such as cloud computing and blockchains;
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for networked control systems, this book introduces readers to the background of distributed optimization; recent developments in distributed;
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for networked control systems, this book introduces readers to the background of distributed optimization; recent developments in distributed;
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algorithms and proving new impossibility results. In addition, it teaches readers how to reason carefully about distributed algorithms-to model them;
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adequate to model and solve such kinds of problem. The distributed constraint satisfaction problem has such properties. Contents Introduction Part;
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by step. The author s intent is for readers to learn not only the proofs, but the heuristics that guide said proofs. Introduction to Lattice;
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This book aims at being a comprehensive and pedagogical introduction to the concept of self-stabilization, introduced by Edsger Wybe;
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as to understand fault tolerance mechanisms in distributed systems.;
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The new edition of a guide to distributed algorithms that emphasizes examples and exercises rather than the intricacies of mathematical;
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principles and techniques presented can be applied to any distributed computing environment (e.g., distributed systems, communication networks, data;
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This volume presents the locality-sensitive approach to distributed network algorithms - the utilization of locality to simplify control;
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understanding This book represents the second edition of Introduction to Reliable Distributed Programming . Its scope has been extended to include;
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software applications to critical systems. Distributed Systems introduces the underlying concepts, the associated design techniques and the related;
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comparative analysis of sequential, parallel and distributed graph algorithms - including algorithms for big data - and an investigation into the;
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to be noted that, while compressed sensing has been studied for some time now, its distributed applications are relatively new. Remarkably;
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This classroom-tested textbook provides an accessible introduction to the design, formal modeling, and analysis of distributed computer;
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algorithms in a distributed environment has become a key technology, and recent research has shown gradient-based iterative optimization to be an;
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distributed computing capabilities of workstations, new algorithms need to be developed with a higher computation-to-communication ratio. Distributed;
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This book is your comprehensive guide to understanding Blockchain and Blockchain consensus algorithms. It covers distributed systems;
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