Graph partitioning and graph clustering : [electronic resource] 10th DIMACS Implementation Challenge Workshop, February 13-14, 2012, Georgia Institute of Technology, Atlanta, GA / David A. Bader, Henning Meyerhenke, Peter Sanders, Dorothea Wagner, editors.
By: (10th : DIMACS Implementation Challenge Workshop (10th : 2012 : Atlanta, Ga.).
Contributor(s): Bader, David A [editor of compilation.] | Meyerhenke, Henning [editor of compilation.] | Sanders, Peter [editor of compilation.] | Wagner, Dorothea [editor of compilation.].
Material type:
BookSeries: Contemporary mathematics, v. 588.Publisher: Providence, Rhode Island : American Mathematical Society, [2013]Description: 1 online resource (xiii, 240 pages : illustrations).Content type: text Media type: unmediated Carrier type: volumeISBN: 9780821898697 (online).Subject(s): Graph algorithms -- Congresses | Graph theory -- Congresses | Combinatorics -- Graph theory -- Graph algorithms | Computer science -- Algorithms -- Nonnumerical algorithms | Combinatorics -- Graph theory -- Small world graphs, complex networks | Computer science -- Algorithms -- Parallel algorithms | Computer science -- Discrete mathematics in relation to computer science -- Graph theory (including graph drawing) | Combinatorics -- Graph theory -- Graphs and linear algebra (matrices, eigenvalues, etc.) | Combinatorics -- Graph theory -- HypergraphsAdditional physical formats: Graph partitioning and graph clustering :DDC classification: 511/.5 Other classification: 05C85 | 68W05 | 05C82 | 68W10 | 68R10 | 05C50 | 05C65 Online resources: Contents | Contents Includes bibliographical references.
High quality graph partitioning / Peter Sanders and Christian Schulz -- Abusing a hypergraph partitioner for unweighted graph partitioning / B. O. Fagginger Auer and R. H. Bisseling -- Parallel partitioning with Zoltan: Is hypergraph partitioning worth it? / Sivasankaran Rajamanickam and Erik G. Boman -- UMPa: A multi-objective, multi-level partitioner for communication minimization / �Umit V. �Cataly�urek, Mehmet Deveci, Kamer Kaya and Bora U�car -- Shape optimizing load balancing for MPI-parallel adaptive numerical simulations / Henning Meyerhenke -- Graph partitioning for scalable distributed graph computations / Ayd�n Bulu�c and Kamesh Madduri -- Using graph partitioning for efficient network modularity optimization / Hristo Djidjev and Melih Onus -- Modularity maximization in networks by variable neighborhood search / Daniel Aloise, Gilles Caporossi, Pierre Hansen, Leo Liberti, Sylvain Perron and Manuel Ruiz -- Network clustering via clique relaxations: A community based approach / Anurag Verma and Sergiy Butenko -- Identifying base clusters and their application to maximizing modularity / Sriram Srinivasan, Tanmoy Chakraborty and Sanjukta Bhowmick -- Complete hierarchical cut-clustering: A case study on expansion and modularity / Michael Hamann, Tanja Hartmann and Dorothea Wagner -- A partitioning-based divisive clustering technique for maximizing the modularity / �Umit V. �Cataly�urek, Kamer Kaya, Johannes Langguth and Bora U�car -- An ensemble learning strategy for graph clustering / Michael Ovelg�onne and Andreas Geyer-Schulz -- Parallel community detection for massive graphs / E. Jason Riedy, Henning Meyerhenke, David Ediger and David A. Bader -- Graph coarsening and clustering on the GPU / B. O. Fagginger Auer and R. H. Bisseling --
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Electronic reproduction. Providence, Rhode Island : American Mathematical Society. 2013
Mode of access : World Wide Web
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