Graph Partitioning and Graph Clustering is popular PDF and ePub book, written by David A. Bader in 2013-03-18, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Graph Partitioning and Graph Clustering can be Read Online from any device for your convenience.
Graph Partitioning and Graph Clustering Book PDF Summary
Graph partitioning and graph clustering are ubiquitous subtasks in many applications where graphs play an important role. Generally speaking, both techniques aim at the identification of vertex subsets with many internal and few external edges. To name only a few, problems addressed by graph partitioning and graph clustering algorithms are: What are the communities within an (online) social network? How do I speed up a numerical simulation by mapping it efficiently onto a parallel computer? How must components be organized on a computer chip such that they can communicate efficiently with each other? What are the segments of a digital image? Which functions are certain genes (most likely) responsible for? The 10th DIMACS Implementation Challenge Workshop was devoted to determining realistic performance of algorithms where worst case analysis is overly pessimistic and probabilistic models are too unrealistic. Articles in the volume describe and analyze various experimental data with the goal of getting insight into realistic algorithm performance in situations where analysis fails.
Detail Book of Graph Partitioning and Graph Clustering PDF
- Author : David A. Bader
- Release : 18 March 2013
- Publisher : American Mathematical Soc.
- ISBN : 9780821890387
- Genre : Mathematics
- Total Page : 258 pages
- Language : English
- PDF File Size : 17,5 Mb
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