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Computational Aspects and Applications in Large-Scale Networks : NET 2017, Nizhny Novgorod, Russia, June 2017

Author: Valery A Kalyagin
Publisher: Cham, Switzerland : Springer, [2018]
Series: Springer proceedings in mathematics & statistics, v. 247.
Edition/Format:   eBook : Document : Conference publication : EnglishView all editions and formats
Summary:
"Contributions in this volume focus on computationally efficient algorithms and rigorous mathematical theories for analyzing large-scale networks. Researchers and students in mathematics, economics, statistics, computer science and engineering will find this collection a valuable resource filled with the latest research in network analysis. Computational aspects and applications of large-scale networks in market  Read more...
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Genre/Form: Electronic books
Conference papers and proceedings
Congresses
Additional Physical Format: Print version:
International Conference on Network Analysis (7th : 2017 : Nizhniĭ Novgorod, Russia).
Computational Aspects and Applications in Large-Scale Networks.
Cham, Switzerland : Springer, [2018]
(OCoLC)1040657020
Material Type: Conference publication, Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Valery A Kalyagin
ISBN: 9783319962474 3319962477
OCLC Number: 1050110405
Description: 1 online resource.
Contents: Intro; Preface; References; Contents; Contributors; Network Computational Algorithms; Tabu Search for Fleet Size and Mix Vehicle Routing Problem with Hard and Soft Time Windows; 1 Introduction; 2 Mathematical Model; 3 Algorithm Description; 3.1 Initial Solution; 3.2 Solution Improvement; 4 Computational Experiments; 4.1 VRPTW Results Comparison; 4.2 Results for FSMVRPSTW; 5 Conclusion; References; FPT Algorithms for the Shortest Lattice Vector and Integer Linear Programming Problems; 1 Introduction; 2 FPT Algorithm for the SVP; 3 The SVP for a Special Class of Lattices. 4 Integer Linear Programming Problem (ILPP)5 Conclusion; References; The Video-Based Age and Gender Recognition with Convolution Neural Networks; 1 Introduction; 2 Materials and Methods; 2.1 Literature Survey; 2.2 Proposed Algorithm; 3 Experimental Results and Discussion; 4 Conclusion and Future Work; References; On Forbidden Induced Subgraphs for the Class of Triangle-König Graphs; 1 Introduction; 2 Notation and Definitions; 3 The Simplest Minimal Forbidden Induced Subgraph; 4 Belts; 5 Rings; 6 Common Theorem; References. The Global Search Theory Approach to the Bilevel Pricing Problem in Telecommunication Networks1 Introduction; 2 Problem Statement and Reduction; 3 Special Local Search Method; 4 Global Search; 5 Implementation of the GSA; 6 Case Study; 7 Concluding Remarks; References; Graph Dichotomy Algorithm and Its Applications to Analysis of Stocks Market; 1 Introduction; 2 Dichotomy Complexity of Graph; 2.1 Frequency Dichotomy Algorithm; 2.2 Family of Dichotomies and Its Properties; 3 Stock Market Analysis; 3.1 Everyday Complexity Values for SampP-500; 3.2 Short-Term Prediction of Big Crises. 4 ConclusionReferences; Cluster Analysis of Facial Video Data in Video Surveillance Systems Using Deep Learning; 1 Introduction; 2 Cluster Analysis in Video Data; 3 Experimental Results; 4 Conclusion; References; Using Modular Decomposition Technique to Solve the Maximum Clique Problem; 1 Introduction; 2 Modular Decomposition Algorithm; 3 The Maximum Clique Solver Based on the Modular Decomposition Tree; 4 Results on DIMACS Benchmarks; 5 Algorithms for Generating Graphs with Modules; 5.1 Graphs of Mutual Simplicity; 5.2 Co-Graphs; 6 Results on Generated Graphs. 6.1 Graphs of Mutual Simplicity6.2 Co-Graphs; 7 Conclusion; References; Network Models; Robust Statistical Procedures for Testing Dynamics in Market Network; 1 Introduction; 2 Methodology; 3 Experimental Results; 4 Rejection Graph; 5 Concluding Remarks; References; Application of Market Models to Network Equilibrium Problems; 1 Introduction; 2 A General Multi-commodity Market Equilibrium Model; 3 Partial Linearization Methods; 4 A Generalization of Network Equilibrium Problems with Elastic Demands.
Series Title: Springer proceedings in mathematics & statistics, v. 247.
Responsibility: Valery A. Kalyagin, Panos M. Pardalos, Oleg Prokopyev, Irina Utkina, editors.

Abstract:

"Contributions in this volume focus on computationally efficient algorithms and rigorous mathematical theories for analyzing large-scale networks. Researchers and students in mathematics, economics, statistics, computer science and engineering will find this collection a valuable resource filled with the latest research in network analysis. Computational aspects and applications of large-scale networks in market models, neural networks, social networks, power transmission grids, maximum clique problem, telecommunication networks, and complexity graphs are included with new tools for efficient network analysis of large-scale networks. This proceeding is a result of the 7th International Conference in Network Analysis, held at the Higher School of Economics, Nizhny Novgorod in June 2017. The conference brought together scientists, engineers, and researchers from academia, industry, and government."--

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