Erciyes K Guide to Distributed Algorithms Implementation Using Python 2025

Erciyes K Guide to Distributed Algorithms Implementation Using Python 2025 | 7.79 MB

Title: Guide to Distributed Algorithms
Author: Ian Mackie

Description:
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.

DOWNLOAD:

https://rapidgator.net/file/e35340aa35c6d5757e8096e14958f47e/Erciyes_K._Guide_to_Distributed_Algorithms...Implementation_Using_Python_2025.rar

https://uploady.io/vf73qsjjjhbb/Erciyes_K._Guide_to_Distributed_Algorithms...Implementation_Using_Python_2025.rar

We need your support!
Make a donation to help us stay online
        
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
	
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem

Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u

USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm