Models, Algorithms, and Technologies for Network Analysis

Boris I. Goldengorin

ISBN 10: 1493953877 / ISBN 13: 9781493953875

Published by Springer New York, Springer US Aug 2016, 2016

About this Item

Neuware -This volume contains two types of papers¿a selection of contributions from the ¿Second International Conference in Network Analysis¿ held in Nizhny Novgorod on May 7¿9, 2012, and papers submitted to an 'open call for papers' reflecting the activities of LATNA at the Higher School for Economics.This volume contains many new results in modeling and powerful algorithmic solutions applied to problems in¿vehicle routing¿single machine scheduling¿modern financial markets¿cell formation in group technology¿brain activities of left- and right-handers¿speeding up algorithms for the maximum clique problem¿analysis and applications of different measures in clusteringThe broad range of applications that can be described and analyzed by means of a network brings together researchers, practitioners, and other scientific communities from numerous fields such as Operations Research, Computer Science, Transportation, Energy, Social Sciences, and more. The contributions not only come from different fields, but also cover a broad range of topics relevant to the theory and practice of network analysis. Researchers, students, and engineers from various disciplines will benefit from the state-of-the-art in models, algorithms, technologies, and techniques presented.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 232 pp. Englisch.

Seller Inventory # 9781493953875

Bibliographic Details

• Title: Models, Algorithms, and Technologies for Network Analysis
• Publisher: Springer New York, Springer US Aug 2016
• Publication Date: 2016
• Language: English
• ISBN 10: 1493953877
• ISBN 13: 9781493953875
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 13D millimeters 235 millimeters width by 155 millimeters height by 13 millimeters depth
• Weight: 359 grams

About this title

Synopsis

This volume contains two types of papers—a selection of contributions from the “Second International Conference in Network Analysis” held in Nizhny Novgorod on May 7–9, 2012, and papers submitted to an "open call for papers" reflecting the activities of LATNA at the Higher School for Economics.

This volume contains many new results in modeling and powerful algorithmic solutions applied to problems in

• vehicle routing
• single machine scheduling
• modern financial markets
• cell formation in group technology
• brain activities of left- and right-handers
• speeding up algorithms for the maximum clique problem
• analysis and applications of different measures in clustering

The broad range of applications that can be described and analyzed by means of a network brings together researchers, practitioners, and other scientific communities from numerous fields such as Operations Research, Computer Science, Transportation, Energy, Social Sciences, and more. The contributions not only come from different fields, but also cover a broad range of topics relevant to the theory and practice of network analysis. Researchers, students, and engineers from various disciplines will benefit from the state-of-the-art in models, algorithms, technologies, and techniques presented.

From the Back Cover

This volume contains two types of papers―a selection of contributions from the “Second International Conference in Network Analysis” held in Nizhny Novgorod on May 7–9, 2012, and papers submitted to an "open call for papers" reflecting the activities of LATNA at the Higher School for Economics.

This volume contains many new results in modeling and powerful algorithmic solutions applied to problems in

• vehicle routing

• single machine scheduling

• modern financial markets

• cell formation in group technology

• brain activities of left- and right-handers

• speeding up algorithms for the maximum clique problem

• analysis and applications of different measures in clustering

The broad range of applications that can be described and analyzed by means of a network brings together researchers, practitioners, and other scientific communities from numerous fields such as Operations Research, Computer Science, Bioinformatics, Medicine, Transportation, Energy, Social Sciences, and more. The contributions not only come from different fields, but also cover a broad range of topics relevant to the theory and practice of network analysis. Researchers, students, and engineers from various disciplines will benefit from the state-of-the-art in models, algorithms, technologies, and techniques including new research directions and open questions.