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Details for:
Erciyes K. Guide to Graph Algorithms. Sequential, Parallel..Distributed 2ed 2026
erciyes k guide graph algorithms sequential parallel distributed 2ed 2026
Type:
E-books
Files:
1
Size:
14.4 MB
Uploaded On:
May 27, 2026, 9:06 a.m.
Added By:
andryold1
Seeders:
5
Leechers:
83
Info Hash:
FDCB8EE37717F22047ABB876008153B75838B704
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Textbook in PDF format This clearly structured textbook/reference presents a detailed and comprehensive review of the fundamental principles of sequential graph algorithms, approaches for NP-hard graph problems, approximation algorithms and heuristics for such problems and implementation of advanced graph structures in machine learning. The work also provides a comparative analysis of sequential, parallel and distributed graph algorithms – including algorithms for big data – and an investigation into the conversion principles between the three algorithmic methods
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Erciyes K. Guide to Graph Algorithms. Sequential, Parallel..Distributed 2ed 2026.pdf
14.4 MB
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