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Introduction to Distributed Self-Stabilizing Algorithms

This book aims at being a comprehensive and pedagogical introduction to the concept of self-stabilization, introduced by Edsger Wybe;

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Mechanically supported design of self-stabilizing algorithms

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Principal Component Analysis Networks and Algorithms

This book not only provides a comprehensive introduction to neural-based PCA methods in control science, but also presents many novel PCA;

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Distributed Control of Robotic Networks

This self-contained introduction to the distributed control of robotic networks offers a distinctive blend of computer science and control;

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Distributed and Sequential Algorithms for Bioinformatics

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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Introduction to Distributed Algorithms

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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Stabilization, Safety, and Security of Distributed Systems

to self-* systems: Stabilizing Systems: Theory and Practice: Distributed Computing and Communication Networks; and Computer Security and;

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Distributed Computing

This introduction to the mathematical foundations and theory of distributed computing is theoretical in nature, describing algorithms and;

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Stabilization Safety and Security of Distributed Systems

lectures were carefully reviewed and selected from 38 submissions. The Symposium is organized in several tracks, reflecting topics to self;

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Designing Reliable Distributed Systems

This classroom-tested textbook provides an accessible introduction to the design, formal modeling, and analysis of distributed computer;

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Distributed Algorithms for Message-Passing Systems

. This book constitutes an introduction to distributed computing and is suitable for advanced undergraduate students or graduate students;

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Elements of Distributed Algorithms

Distributed Computing is rapidly becoming the principal computing paradigm in diverse areas of computing, communication, and control;

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Distributed Algorithms

A comprehensive guide to distributed algorithms that emphasizes examples and exercises rather than mathematical argumentation. This book;

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Link Reversal Algorithms

to be discovered. Table of Contents: Introduction / Routing in a Graph: Correctness / Routing in a Graph: Complexity / Routing and Leader;

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Fault-Tolerant Message-Passing Distributed Systems: An Algorithmic Approach

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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Distributed Optimization Advances in Theories Methods and Applications

for networked control systems, this book introduces readers to the background of distributed optimization; recent developments in distributed;

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Distributed Optimization Advances in Theories Methods and Applications

for networked control systems, this book introduces readers to the background of distributed optimization; recent developments in distributed;

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Distributed Algorithms

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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Algorithms and Ordering Heuristics for Distributed Constraint Satisfaction Problems

adequate to model and solve such kinds of problem. The distributed constraint satisfaction problem has such properties. Contents Introduction Part;

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Introduction to Lattice Theory with Computer Science Applications

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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Parallel and Distributed Computing Applications

as to understand fault tolerance mechanisms in distributed systems.;

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Distributed Algorithms

The new edition of a guide to distributed algorithms that emphasizes examples and exercises rather than the intricacies of mathematical;

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Achieving Self-Managed Deployment

large number of distributed components and it is important to meet the computational power and network bandwidth requirements of those;

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Design and Analysis of Distributed Algorithms

principles and techniques presented can be applied to any distributed computing environment (e.g., distributed systems, communication networks, data;

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Distributed Computing

This volume presents the locality-sensitive approach to distributed network algorithms - the utilization of locality to simplify control;

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Introduction to Reliable and Secure Distributed Programming

understanding This book represents the second edition of Introduction to Reliable Distributed Programming . Its scope has been extended to include;

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SelfOrganization in Sensor and Actor Networks

between autonomous systems, and bio-inspired networking. * Overview of the basic methodologies for self-organization, a comparison to central and;

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