Cargando…

Graph partitioning and graph clustering : 10th DIMACS Implementation Challenge Workshop, February 13-14, 2012, Georgia Institute of Technology, Atlanta, GA /

"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 p...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: DIMACS Implementation Challenge Workshop Atlanta, Ga.
Otros Autores: Bader, David A., 1969- (Editor ), Meyerhenke, Henning, 1978- (Editor ), Sanders, Peter, 1967- (Editor ), Wagner, Dorothea, 1957- (Editor )
Formato: Electrónico Congresos, conferencias eBook
Idioma:Inglés
Publicado: Providence, Rhode Island : American Mathematical Society, [2013]
Colección:Contemporary mathematics (American Mathematical Society) ; v. 588.
Temas:
Acceso en línea:Texto completo

MARC

LEADER 00000cam a2200000 i 4500
001 EBOOKCENTRAL_ocn840599907
003 OCoLC
005 20240329122006.0
006 m o d
007 cr |n|||||||||
008 130424s2013 riua ob 100 0 eng d
010 |z  2012048265 
040 |a OSU  |b eng  |e rda  |e pn  |c OSU  |d OCLCQ  |d OCLCA  |d OTZ  |d COO  |d OCLCF  |d YDXCP  |d OCLCO  |d OCLCQ  |d OCLCO  |d OCL  |d OCLCO  |d EBLCP  |d DEBSZ  |d OCLCO  |d N$T  |d OCLCO  |d YDX  |d YOU  |d OCLCQ  |d K6U  |d OCLCO  |d OCLCQ  |d SFB  |d LEAUB  |d INARC  |d OCLCO  |d OCLCL  |d OCLCQ 
019 |a 976254221  |a 1077920579  |a 1086545432  |a 1290048268  |a 1391563655 
020 |a 9780821898697  |q (electronic bk.) 
020 |a 0821898698  |q (electronic bk.) 
020 |z 9780821890387  |q (alk. paper) 
020 |z 0821890387  |q (alk. paper) 
029 1 |a AU@  |b 000056676177 
029 1 |a DEBSZ  |b 449620603 
029 1 |a AU@  |b 000069666762 
035 |a (OCoLC)840599907  |z (OCoLC)976254221  |z (OCoLC)1077920579  |z (OCoLC)1086545432  |z (OCoLC)1290048268  |z (OCoLC)1391563655 
050 4 |a QA166.245  |b .D56 2012eb 
072 7 |a MAT  |x 000000  |2 bisacsh 
082 0 4 |a 511/.5  |2 23 
084 |a 05C85  |a 68W05  |a 05C82  |a 68W10  |a 68R10  |a 05C50  |a 05C65  |2 msc 
049 |a UAMI 
111 2 |a DIMACS Implementation Challenge Workshop  |n (10th :  |d 2012 :  |c Atlanta, Ga.) 
245 1 0 |a Graph partitioning and graph clustering :  |b 10th DIMACS Implementation Challenge Workshop, February 13-14, 2012, Georgia Institute of Technology, Atlanta, GA /  |c David A. Bader, Henning Meyerhenke, Peter Sanders, Dorothea Wagner, editors. 
264 1 |a Providence, Rhode Island :  |b American Mathematical Society,  |c [2013] 
264 4 |c ©2013 
300 |a 1 online resource (xiii, 240 pages) :  |b illustrations (some color) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Contemporary mathematics,  |x 0271-4132 ;  |v 588 
504 |a Includes bibliographical references. 
588 0 |a Print version record. 
505 0 0 |t High quality graph partitioning /  |r Peter Sanders and Christian Schulz --  |u http://www.ams.org/conm/588/  |u http://dx.doi.org/10.1090/conm/588/11700  |t Abusing a hypergraph partitioner for unweighted graph partitioning /  |r B. O. Fagginger Auer and R. H. Bisseling --  |u http://www.ams.org/conm/588/  |u http://dx.doi.org/10.1090/conm/588/11707  |t Parallel partitioning with Zoltan: Is hypergraph partitioning worth it? /  |r Sivasankaran Rajamanickam and Erik G. Boman --  |u http://www.ams.org/conm/588/  |u http://dx.doi.org/10.1090/conm/588/11711  |t UMPa: A multi-objective, multi-level partitioner for communication minimization /  |r Ümit V. Çatalyürek, Mehmet Deveci, Kamer Kaya and Bora Uçar --  |u http://www.ams.org/conm/588/  |u http://dx.doi.org/10.1090/conm/588/11704  |t Shape optimizing load balancing for MPI-parallel adaptive numerical simulations /  |r Henning Meyerhenke --  |u http://www.ams.org/conm/588/  |u http://dx.doi.org/10.1090/conm/588/11699  |t Graph partitioning for scalable distributed graph computations /  |r Aydın Buluç and Kamesh Madduri --  |u http://www.ams.org/conm/588/  |u http://dx.doi.org/10.1090/conm/588/11709  |t Using graph partitioning for efficient network modularity optimization /  |r Hristo Djidjev and Melih Onus --  |u http://www.ams.org/conm/588/  |u http://dx.doi.org/10.1090/conm/588/11713  |t Modularity maximization in networks by variable neighborhood search /  |r Daniel Aloise, Gilles Caporossi, Pierre Hansen, Leo Liberti, Sylvain Perron and Manuel Ruiz --  |u http://www.ams.org/conm/588/  |u http://dx.doi.org/10.1090/conm/588/11705  |t Network clustering via clique relaxations: A community based approach /  |r Anurag Verma and Sergiy Butenko --  |u http://www.ams.org/conm/588/  |u http://dx.doi.org/10.1090/conm/588/11702  |t Identifying base clusters and their application to maximizing modularity /  |r Sriram Srinivasan, Tanmoy Chakraborty and Sanjukta Bhowmick --  |u http://www.ams.org/conm/588/  |u http://dx.doi.org/10.1090/conm/588/11708  |t Complete hierarchical cut-clustering: A case study on expansion and modularity /  |r Michael Hamann, Tanja Hartmann and Dorothea Wagner --  |u http://www.ams.org/conm/588/  |u http://dx.doi.org/10.1090/conm/588/11710  |t A partitioning-based divisive clustering technique for maximizing the modularity /  |r Ümit V. Çatalyürek, Kamer Kaya, Johannes Langguth and Bora Uçar --  |u http://www.ams.org/conm/588/  |u http://dx.doi.org/10.1090/conm/588/11712  |t An ensemble learning strategy for graph clustering /  |r Michael Ovelgönne and Andreas Geyer-Schulz --  |u http://www.ams.org/conm/588/  |u http://dx.doi.org/10.1090/conm/588/11701  |t Parallel community detection for massive graphs /  |r E. Jason Riedy, Henning Meyerhenke, David Ediger and David A. Bader --  |u http://www.ams.org/conm/588/  |u http://dx.doi.org/10.1090/conm/588/11703  |t Graph coarsening and clustering on the GPU /  |r B. O. Fagginger Auer and R. H. Bisseling --  |u http://www.ams.org/conm/588/  |u http://dx.doi.org/10.1090/conm/588/11706 
520 |a "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. This book is published in cooperation with the Center for Discrete Mathematics and Theoretical Computer Science."--Publisher's website. 
546 |a English. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Graph algorithms  |v Congresses. 
650 0 |a Graph theory  |v Congresses. 
650 6 |a Algorithmes de graphes  |v Congrès. 
650 7 |a MATHEMATICS  |x General.  |2 bisacsh 
650 7 |a Graph algorithms  |2 fast 
650 7 |a Graph theory  |2 fast 
650 7 |a Combinatorics  |x Graph theory  |x Graph algorithms.  |2 msc 
650 7 |a Computer science  |x Algorithms  |x Nonnumerical algorithms.  |2 msc 
650 7 |a Combinatorics  |x Graph theory  |x Small world graphs, complex networks.  |2 msc 
650 7 |a Computer science  |x Algorithms  |x Parallel algorithms.  |2 msc 
650 7 |a Computer science  |x Discrete mathematics in relation to computer science  |x Graph theory (including graph drawing)  |2 msc 
650 7 |a Combinatorics  |x Graph theory  |x Graphs and linear algebra (matrices, eigenvalues, etc.)  |2 msc 
650 7 |a Combinatorics  |x Graph theory  |x Hypergraphs.  |2 msc 
655 7 |a Conference papers and proceedings  |2 fast 
700 1 |a Bader, David A.,  |d 1969-  |e editor.  |1 https://id.oclc.org/worldcat/entity/E39PCjHHjjFMMDj9BcJYkWKKMK 
700 1 |a Meyerhenke, Henning,  |d 1978-  |e editor.  |1 https://id.oclc.org/worldcat/entity/E39PCjCRhPRJtT7w44CRQqwQYK 
700 1 |a Sanders, Peter,  |d 1967-  |e editor.  |1 https://id.oclc.org/worldcat/entity/E39PBJwHc74d3XyXgj8kBtyDbd 
700 1 |a Wagner, Dorothea,  |d 1957-  |e editor.  |1 https://id.oclc.org/worldcat/entity/E39PBJqbkBFcDvBXbqqmYVhfv3 
758 |i has work:  |a Graph partitioning and graph clustering (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCGWWHD8VCWbp7kMtpTvktC  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |a DIMACS Implementation Challenge Workshop (10th : 2012 : Atlanta, Ga.).  |t Graph partitioning and graph clustering  |z 9780821890387  |w (DLC) 2012048265  |w (OCoLC)829644505 
830 0 |a Contemporary mathematics (American Mathematical Society) ;  |v v. 588. 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=3113242  |z Texto completo 
938 |a ProQuest Ebook Central  |b EBLB  |n EBL3113242 
938 |a EBSCOhost  |b EBSC  |n 974712 
938 |a YBP Library Services  |b YANK  |n 11847448 
938 |a Internet Archive  |b INAR  |n graphpartitionin0000dima 
994 |a 92  |b IZTAP