Distributed Algorithms: An Intuitive Approach (The MIT Press)

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This book offers college students and researchers helpful information to distributed algorithms that emphasizes good examples and exercises as opposed to the intricacies of mathematical versions. It avoids mathematical argumentation, ordinarily a stumbling block for college students, teaching algorithmic believed instead of proofs and logic. This process allows the college student to learn numerous algorithms within a comparatively short span of period. Proof sketches, arguing the correctness of an algorithm or explaining the theory behind fundamental outcomes, are also included.

Distributed Algorithms may be used in classes for upper-level undergraduates or graduate college students in computer technology, or as a reference for experts in the field. The algorithms provided in the reserve are generally “classics,” chosen because they reveal the algorithmic style of distributed systems or on crucial issues in distributed processing and concurrent programming.

Distributed algorithms are performed by a assortment of computer systems that send text messages to one another or by multiple software program threads that utilize the same shared memory space. The good examples and exercises enable readers to comprehend algorithms intuitively and from different perspectives.

See also

• Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies (The MIT Press)
• Principles of Robot Motion: Theory, Algorithms, and Implementations (Intelligent Robotics and Autonomous Agents series)
• Software Design Decoded: 66 Ways Experts Think (The MIT Press)