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Total Size:
14.4 MB
Info Hash:
FDCB8EE37717F22047ABB876008153B75838B704
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Added:
May 28, 2026, 9:04 a.m.
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(Last updated: May 29, 2026, 10:59 p.m.)
| File | Size |
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| ['Erciyes K. Guide to Graph Algorithms. Sequential, Parallel..Distributed 2ed 2026.pdf'] | 0 bytes |
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14.4 MB
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2026-05-28
| Uploaded by andryold1 | Size 14.4 MB | Health [ 17 /190 ] | Added 2026-05-28 |
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14.4 MB
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2026-05-29
| Uploaded by andryold1 | Size 14.4 MB | Health [ 113 /4 ] | Added 2026-05-29 |
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SOURCE: Erciyes K. Guide to Graph Algorithms. Sequential, Parallel..Distributed 2ed 2026
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MEDIAINFO
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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