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Guide to Distributed Algorithms : Design, Analysis and Implementation Using Python - K. Erciyes

Guide to Distributed Algorithms

Design, Analysis and Implementation Using Python

By: K. Erciyes

eText | 22 April 2025

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The study of distributed algorithms provides the needed background in many real-life applications, such as: distributed real-time systems, wireless sensor networks, mobile ad hoc networks and distributed databases.

The main goal of Guide to Distributed Algorithms is to provide a detailed study of the design and analysis methods of distributed algorithms and to supply the implementations of most of the presented algorithms in Python language, which is the unique feature of the book not found in any other contemporary books on distributed computing.

Topics and features:

  • Presents comprehensive design methods for distributed algorithms
  • Provides detailed analysis for the algorithms presented
  • Uses graph templates to demonstrate the working of algorithms
  • Provides working Python code for most of the algorithms presented

This unique textbook/study manual can serve as a comprehensive manual of distributed algorithms for Computer Science and non-CS majors as well as practitioners of distributed algorithms in research projects.

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You Can Find This eBook In

Non-FictionComputing & I.T.Computer ScienceMathematical Theory of ComputationComputer Programming & Software DevelopmentAlgorithms & Data StructuresProgramming & Scripting LanguagesMathematics

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