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Computational Aspects and Applications in Large-Scale Networks [[electronic resource] ] : NET 2017, Nizhny Novgorod, Russia, June 2017 / / edited by Valery A. Kalyagin, Panos M. Pardalos, Oleg Prokopyev, Irina Utkina
Computational Aspects and Applications in Large-Scale Networks [[electronic resource] ] : NET 2017, Nizhny Novgorod, Russia, June 2017 / / edited by Valery A. Kalyagin, Panos M. Pardalos, Oleg Prokopyev, Irina Utkina
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (358 pages)
Disciplina 658.4032
Collana Springer Proceedings in Mathematics & Statistics
Soggetto topico Operations research
Management science
Neural networks (Computer science) 
Combinatorics
Probabilities
Operations Research, Management Science
Mathematical Models of Cognitive Processes and Neural Networks
Probability Theory and Stochastic Processes
ISBN 3-319-96247-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I: Network Computational Algorithms -- Batsyn, M., Bychkov, I., Komosko, L. and Nikolaev, A: Tabu Search for Fleet Size and Mix Vehicle Routing Problem with Hard and Soft Time Windows -- Gribanov, D: FPT-algorithms for The Shortest Lattice Vector and Integer Linear Programming Problems -- Kharchevnikova, A. and Savchenko, A: The Video-Based Age and Gender Recognition with Convolution Neural Networks -- Mokeev, D. B: On forbidden Induced Subgraphs for the Class of Triangle-Konig Graphs -- Orlov, A: The Global Search Theory Approach to the Bilevel Pricing Problem in Telecommunication Networks -- Rubchinsky, A: Graph Dichotomy Algorithm and Its Applications to Analysis of Stocks Market -- Sokolova, A. and Savchenko, A: Cluster Analysis of Facial Video Data in Video Surveillance Systems Using Deep Learning -- Utkina, I: Using Modular Decomposition Technique to Solve the Maximum Clique Problem -- Part II: Network Models -- Koldanov, A. and Voronina, M: Robust Statistical Procedures for Testing Dynamics in Market Network -- Konnov, I: Application of Market Models to Network Equilibrium Problems -- Konnov, I. and Pinyagina, O: Selective Bi-coordinate Variations for Network Equilibrium Problems with Mixed Demand -- Makrushin, S: Developing a Model of Topological Structure Formation for Power Transmission Grids Based on the Analysis of the UNEG -- Nelyubin, A., Podinovski, V. and Potapov, M: Methods of Criteria Importance Theory and Their Software Implementation -- Ponomarenko, A., Utkina, I. and Batsyn, M: A Model of Optimal Network Structure for Decentralized Nearest Neighbor Search -- Semenov, A., Gorbatenko, D. and Kochemazov, S: Computational Study of Activation Dynamics on Networks of Arbitrary Structure -- Semenov, D. and Koldanov, P: Rejection Graph for Multiple Testing of Elliptical Model for Market Network -- Zaytsev, D. and Drozdova, D: Mapping Paradigms of Social Sciences: Application of Network Analysis -- Part III: Network Applications -- Belyaev, M., Dodonova, Y., Belyaeva, D., Krivov, E., Gutman, B., Faskowitz, J., Jahanshad, N. and Thompson, P: Using Geometry of the Set of Symmetric Positive Semidefinite Matrices to Classify Structural Brain Networks -- Grechikhin, I. and Kalyagin, V: Comparison of Statistical Procedures for Gaussian Graphical Model Selection -- Karpov, N., Lyashuk, A. and Vizgunov, A: Sentiment Analysis Using Deep Learning -- Koldanov, P: Invariance Properties of Statistical Procedures for Network Structures Identification -- Kurmukov, A., Dodonova, Y., Burova, M., Mussabayeva, A., Petrov, D., Faskowitz, J. and Zhukov, L: Topological Modules of Human Brain Networks are Anatomically Embedded: Evidence from Modularity Analysis at Multiple Scales -- Kostyakova, N., Karpov, I., Makarov, I. and Zhukov, L. E: Commercial Astroturfing Detection in Social Networks -- Laptsuev, R., Ananyeva, M., Meinster, D., Karpov, I., Makarov, I. and Zhukov, L. E: Information Propagation Strategies in Online Social Networks -- Matveeva, N. and Poldin, O: Analysis of Co-authorship Networks and Scientific Citation Based on Google Scholar -- Sidorov, S., Faizliev, A., Balash, V., Gudkov, A., Chekmareva, A. and Anikin, P: Company Co-Mention Network Analysis.
Record Nr. UNINA-9910300129403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
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Mathematical Optimization Theory and Operations Research [[electronic resource] ] : 19th International Conference, MOTOR 2020, Novosibirsk, Russia, July 6–10, 2020, Proceedings / / edited by Alexander Kononov, Michael Khachay, Valery A Kalyagin, Panos Pardalos
Mathematical Optimization Theory and Operations Research [[electronic resource] ] : 19th International Conference, MOTOR 2020, Novosibirsk, Russia, July 6–10, 2020, Proceedings / / edited by Alexander Kononov, Michael Khachay, Valery A Kalyagin, Panos Pardalos
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (492 pages)
Disciplina 519.3
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer science—Mathematics
Computer science
Data structures (Computer science)
Information theory
Discrete mathematics
Computer networks
Mathematics of Computing
Theory of Computation
Mathematical Applications in Computer Science
Data Structures and Information Theory
Discrete Mathematics in Computer Science
Computer Communication Networks
ISBN 3-030-49988-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Discrete Optimization -- Mathematical Programming -- Game Theory -- Scheduling Problem -- Heuristics and Metaheuristics -- Operational Research Applications.
Record Nr. UNISA-996418281003316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
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Mathematical Optimization Theory and Operations Research [[electronic resource] ] : 19th International Conference, MOTOR 2020, Novosibirsk, Russia, July 6–10, 2020, Proceedings / / edited by Alexander Kononov, Michael Khachay, Valery A Kalyagin, Panos Pardalos
Mathematical Optimization Theory and Operations Research [[electronic resource] ] : 19th International Conference, MOTOR 2020, Novosibirsk, Russia, July 6–10, 2020, Proceedings / / edited by Alexander Kononov, Michael Khachay, Valery A Kalyagin, Panos Pardalos
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (492 pages)
Disciplina 519.3
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer science—Mathematics
Computer science
Data structures (Computer science)
Information theory
Discrete mathematics
Computer networks
Mathematics of Computing
Theory of Computation
Mathematical Applications in Computer Science
Data Structures and Information Theory
Discrete Mathematics in Computer Science
Computer Communication Networks
ISBN 3-030-49988-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Discrete Optimization -- Mathematical Programming -- Game Theory -- Scheduling Problem -- Heuristics and Metaheuristics -- Operational Research Applications.
Record Nr. UNINA-9910483237403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Models, Algorithms and Technologies for Network Analysis [[electronic resource] ] : NET 2014, Nizhny Novgorod, Russia, May 2014 / / edited by Valery A. Kalyagin, Petr A. Koldanov, Panos M. Pardalos
Models, Algorithms and Technologies for Network Analysis [[electronic resource] ] : NET 2014, Nizhny Novgorod, Russia, May 2014 / / edited by Valery A. Kalyagin, Petr A. Koldanov, Panos M. Pardalos
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XVI, 340 p. 107 illus., 82 illus. in color.)
Disciplina 658.4032
Collana Springer Proceedings in Mathematics & Statistics
Soggetto topico Algorithms
Combinatorics
Operations research
Management science
Operations Research, Management Science
ISBN 3-319-29608-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I: Optimization in Networks -- Maximally Diverse Grouping and Clique Partitioning Problems with Skewed General Variable Neighborhood Search -- Test Generation for Digital Circuits Based on Continuous Approach to Circuit Simulation Using Different Continuous Extensions of Boolean Functions -- König graphs for 4-paths. Wided cycles -- Optimization Algorithms for Shared Groups in Multicast Routing -- Minimizing the Fuel Consumption of a Multiobjective Vehicle Routing Problem Using the Parallel Multi-Start NSGA II Algorithm -- Manifold Location Routing Problem with Applications in Network Theory -- A Branch and Bound Algorithm for the Cell Formation Problem -- Part II: Network Data Mining -- Hybrid Community Detection in Social Networks -- Spectral Properties of Financial Correlation Matrices -- Statistical Uncertainty of Minimum Spanning Tree in Market Network -- Identification of Cliques and Independent Sets in Pearson and Fechner Correlations Networks -- Testing the Stationarity of Sign Coincidence in Market Network -- Synchronization and Network Measures in a Concussion EEG Paradigm -- Video-Based Pedestrian Detection on Mobile Phones with the Cascade Classifiers -- Clustering in Financial Markets -- Part III: Economics and Other Applications -- A Semantic Solution for Seamless Data Exchange in Supply Networks -- Key Borrowers Detected by the Intensities of Their Short-Range Interactions -- Langmuir Solitons in Plasma with Inhomogeneous Electron Temperature and Space Stimulated Scattering on Damping Ion-sound Waves -- Equilibria in Networks with Production and Knowledge Externalities.
Record Nr. UNINA-9910136029503321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Models, Algorithms and Technologies for Network Analysis [[electronic resource] ] : From the Third International Conference on Network Analysis / / edited by Mikhail V. Batsyn, Valery A. Kalyagin, Panos M. Pardalos
Models, Algorithms and Technologies for Network Analysis [[electronic resource] ] : From the Third International Conference on Network Analysis / / edited by Mikhail V. Batsyn, Valery A. Kalyagin, Panos M. Pardalos
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (145 p.)
Disciplina 003.3
004
510
515
518
519.6
621
Collana Springer Proceedings in Mathematics & Statistics
Soggetto topico Mathematical optimization
Physics
Mathematical analysis
Analysis (Mathematics)
Computer mathematics
Computer software
Mathematical models
Optimization
Applications of Graph Theory and Complex Networks
Analysis
Computational Mathematics and Numerical Analysis
Mathematical Software
Mathematical Modeling and Industrial Mathematics
ISBN 3-319-09758-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A method of static and dynamic pattern analysis of innovative development of Russian regions in the long run -- Using mathematical programming to refine heuristic solutions for network clustering -- Market graph construction using the performance measure of similarity -- How independent are stocks in an independent set of a market graph -- Analysis of Russian industries in the stock market -- A particle swarm optimization algorithm for the multicast routing problem -- König graphs for 4-paths -- A hybrid metaheuristic for routing on multicast networks -- Possible ways of applying citations network analysis to a scientific writing assistant -- Bounding fronts in multi-objective combinatorial optimization with application to aesthetic drawing of business process diagrams.
Record Nr. UNINA-9910299981803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Models, Algorithms, and Technologies for Network Analysis [[electronic resource] ] : NET 2016, Nizhny Novgorod, Russia, May 2016 / / edited by Valery A. Kalyagin, Alexey I. Nikolaev, Panos M. Pardalos, Oleg A. Prokopyev
Models, Algorithms, and Technologies for Network Analysis [[electronic resource] ] : NET 2016, Nizhny Novgorod, Russia, May 2016 / / edited by Valery A. Kalyagin, Alexey I. Nikolaev, Panos M. Pardalos, Oleg A. Prokopyev
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XIII, 277 p. 57 illus.)
Disciplina 658.4032
Collana Springer Proceedings in Mathematics & Statistics
Soggetto topico Algorithms
Operations research
Management science
Combinatorics
Mathematical models
Operations Research, Management Science
Mathematical Modeling and Industrial Mathematics
ISBN 3-319-56829-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Linear Max Min Fairness in Multi-commodity Flow Networks (Hamoud Bin Obaid, Theodore B. Trafalis) -- Heuristic for Maximizing Grouping Efficiency in the Cell Formation Problem (Ilya Bychkov, Mikhail Batsyn, Panos M. Pardalos) -- Efficient Methods of Multicriterial Optimization Based on the Intensive Use of Search Information (Victor Gergel, Evgeny Kozinov) -- Comparison of two heuristic algorithms for a location and design problem (Alexander Gnusarev) -- A Class of Smooth Modification of Space-Filling Curves for Global Optimization Problems (Alexey Goryachih) -- Iterative Local Search Heuristic for Truck and Trailer Routing Problem (Ivan S. Grechikhin) -- Power in network structures (Fuad Aleskerov, Natalia Meshcheryakova, Sergey Shvydun) -- Do logarithmic proximity measures outperform plain ones in graph clustering? (Vladimir Ivashkin, Pavel Chebotarev) -- Analysis of Russian Power Transmission Grid Structure: Small World Phenomena Detection (Sergey Makrushin) -- A new approach to network decomposition problems (Alexander Rubchinsky) -- Homogeneity hypothesis testing for degree distribution in the market graph (Semenov D.P., Koldanov P.A.) -- Network Analysis of International Migration (Fuad Aleskerov, Natalia Meshcheryakova, Anna Rezyapova, Sergey Shvydun) -- Overlapping community detection in social networks with node attributes by neighborhood influence (Vladislav Chesnokov) -- Testing hypothesis on degree distribution in the market graph (Koldanov P.A., Larushina J.D.) -- Application of network analysis for FMCG distribution channels (Nadezda Kolesnik, Valentina Kuskova, Olga Tretyak) -- Machine learning application to human brain network studies: a kernel approach (Anvar Kurmukov, Yulia Dodonova, Leonid Zhukov) -- Co-author Recommender System (Ilya Makarov, Oleg Bulanov, Leonid Zhukov) -- Network Studies in Russia: From Articles to the Structure of a Research Community (Daria Maltseva, Ilia Karpov). <.
Record Nr. UNINA-9910254277603321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Models, Algorithms, and Technologies for Network Analysis [[electronic resource] ] : Proceedings of the First International Conference on Network Analysis / / edited by Boris I. Goldengorin, Valery A. Kalyagin, Panos M. Pardalos
Models, Algorithms, and Technologies for Network Analysis [[electronic resource] ] : Proceedings of the First International Conference on Network Analysis / / edited by Boris I. Goldengorin, Valery A. Kalyagin, Panos M. Pardalos
Edizione [1st ed. 2013.]
Pubbl/distr/stampa New York, NY : , : Springer New York : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (243 p.)
Disciplina 003.72
658.4/033
Collana Springer Proceedings in Mathematics & Statistics
Soggetto topico Mathematical optimization
Combinatorics
Operations research
Management science
Optimization
Operations Research, Management Science
ISBN 1-283-93422-1
1-4614-5574-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Models, Algorithms, and Technologies for Network Analysis; Preface; The 1st International Conference on Network Analysis; Contents; Soliton Self-wave Number Downshift Compensationby the Increasing Second-Order Dispersion; 1 Introduction; 2 Basic Equation; 3 Adiabatic Approximation; 4 Numerical Results; 5 Conclusion; References; Pattern-Based Heuristic for the Cell Formation Problemin Group Technology; 1 Introduction; 2 Patterns and the CFP; 2.1 Patterns; 2.2 The CFP Formulation; 2.3 The CFP Objective Functions; 3 Heuristic; 4 Computational Results; 5 Summary and Future Research Directions
ReferencesAn Analytical Expression for the Distribution of the Sumof Random Variables with a Mixed Uniform Density and MassFunction; 1 Introduction; 2 Uniform Distribution with Discontinuity; 2.1 Recurrent Formula; 2.2 Auxiliary Results; 2.3 Main Result; References; Modular Contractions and Their Application; 1 Introduction; 2 Modulars and Modular Spaces; 3 Sequences in Modular Spaces and Modular Convergence; 4 Examples of Metric and Modular Convergences; 5 A Fixed-Point Theorem for Modular Contractions; 6 An Application of the Fixed-Point Theorem; 7 Concluding Remarks; References
Network-Based Representation of Stock Market Dynamics: An Application to American and Swedish Stock Markets1 Introduction; 2 Notations and Model; 3 Static and Dynamic Behavior of Market Graphs; 4 Conclusion; References; On a Numerically Stable Algorithm for the Analysisof Generalized Volterra Lattice; 1 Volterra Lattice and Inverse Spectral Problem for Jacobi Operator; 2 Generalized Volterra Lattice and Inverse Spectral Problem for Band Hessenberg Operator; 3 Simple Version of Modified Moments Algorithm; 4 Main Result; References
How Close to Optimal Are Small World Properties of Human Brain Networks?1 Introduction; 2 Materials and Methods; 3 Results; 3.1 Clustering Coefficient; 3.2 Network Efficiency; 3.3 Characteristic Path Length; 4 Discussion; References; Optimizing Network Topology to Reduce Aggregate Trafficin Systems of Mobile Agents; 1 Introduction; 2 Problem Formulation; 3 Network Topology Reconfiguration Algorithms; 4 Network Topology Optimization Algorithms; 4.1 Optimal Algorithm; 4.2 Simulated Annealing Algorithm; 4.3 Greedy Algorithm; 5 Complexity Analysis; 6 Simulation Results; 7 Conclusion; References
Integrated Production Planning, Shift Planning, and Detailed Scheduling in a Tissue Paper Manufacturer1 Introduction; 2 Literature Survey; 3 Planning Environment; 3.1 Characteristics of Competitive Environment; 3.2 Characteristics of Production Environment; 3.2.1 Two-Phase Production; 3.2.2 Multi-facility Production System; 3.2.3 Product Families; 4 Problem Definition; 4.1 Basic Definitions; 4.2 Planning Problem and Problem Architecture; 5 Solution Procedures; 5.1 Capacity Planning Model; 5.2 Shift Planning Model; 5.3 Scheduling Model; 5.3.1 Batch Sizing Model
5.3.2 Sequencing of Production Batches
Record Nr. UNINA-9910438152103321
New York, NY : , : Springer New York : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Network Algorithms, Data Mining, and Applications [[electronic resource] ] : NET, Moscow, Russia, May 2018 / / edited by Ilya Bychkov, Valery A. Kalyagin, Panos M. Pardalos, Oleg Prokopyev
Network Algorithms, Data Mining, and Applications [[electronic resource] ] : NET, Moscow, Russia, May 2018 / / edited by Ilya Bychkov, Valery A. Kalyagin, Panos M. Pardalos, Oleg Prokopyev
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XIII, 244 p. 65 illus., 43 illus. in color.)
Disciplina 658.4032
Collana Springer Proceedings in Mathematics & Statistics
Soggetto topico Mathematical optimization
Neural networks (Computer science) 
Combinatorics
Optimization
Mathematical Models of Cognitive Processes and Neural Networks
ISBN 3-030-37157-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I: Network algorithms -- Obaid, H. B. and Trafalis, T: Fairness in Resource Allocation: Foundation and Applications -- Ignatov, D., Ivanova, P., Zamaletdinova, A. and Prokopyev, O: Searching for Maximum Quasi-Bicliques with Mixed Integer Programming -- Miasnikof, P., Pitsoulis, L., Bonner, A. J., Lawryshyn, Y. and Pardalos, P. M: Graph Clustering Via Intra-Cluster Density Maximization -- Shvydun, S.: Computational Complexity of SRIC and LRIC indices -- Sifaleras, A. and Konstantaras, I: A survey on variable neighborhood search methods for supply network inventory -- Part II: Network Data Mining -- Ananyeva, M. and Makarov, I: GSM: Inductive Learning on Dynamic Graph Embeddings -- Averchenkova, A., Akhmetzyanova, A., Sudarikov, K., Sulimov, P., Makarov I. and Zhukov, L. E: Collaborator Recommender System based on Co-authorship Network Analysis -- Demochkin, K. and Savchenko, A: User Preference Prediction in a Set of Photos based on Neural Aggregation Network -- Makrushin , S.: Network structure and scheme analysis of the Russian language segment of Wikipedia -- Meshcheryakova, N., Shvydun, S. and Aleskerov, F: Indirect Influence Assessment in the Context of Retail Food Network -- Sokolova, A. D. and Savchenko, A. V: Facial clustering in video data using deep convolutional neural networks -- Part III: Network Applications -- Egamov, A.: The existence and uniqueness theorem for initial-boundary value problem of the same class of integro-differential PDEs -- Gradoselskaya, G., Karpov, I. and Shcheglova, T: Mapping of politically active groups on social networks of Russian regions (on the example of Karachay-Cherkessia Republic) -- Mikhailova, O., Gradoselskaya, G. and Kharlamov, A: Social Mechanisms of the Subject Area Formation. The Case of “Digital Economy -- Shcheglova, T., Gradoselskaya, G. and Karpov, I: Methodology for measuring polarization of political discourse: case of comparing oppositional and patriotic discourse in online social networks -- Zaytsev, D., Khvatsky, G., Talovsky, N. and Kuskova, V: Network Analysis Methodology of Policy Actors Identification and Power Evaluation (the case of the Unified State Exam introduction in Russia).
Record Nr. UNISA-996418261603316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Network Algorithms, Data Mining, and Applications [[electronic resource] ] : NET, Moscow, Russia, May 2018 / / edited by Ilya Bychkov, Valery A. Kalyagin, Panos M. Pardalos, Oleg Prokopyev
Network Algorithms, Data Mining, and Applications [[electronic resource] ] : NET, Moscow, Russia, May 2018 / / edited by Ilya Bychkov, Valery A. Kalyagin, Panos M. Pardalos, Oleg Prokopyev
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XIII, 244 p. 65 illus., 43 illus. in color.)
Disciplina 658.4032
Collana Springer Proceedings in Mathematics & Statistics
Soggetto topico Mathematical optimization
Neural networks (Computer science) 
Combinatorics
Optimization
Mathematical Models of Cognitive Processes and Neural Networks
ISBN 3-030-37157-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I: Network algorithms -- Obaid, H. B. and Trafalis, T: Fairness in Resource Allocation: Foundation and Applications -- Ignatov, D., Ivanova, P., Zamaletdinova, A. and Prokopyev, O: Searching for Maximum Quasi-Bicliques with Mixed Integer Programming -- Miasnikof, P., Pitsoulis, L., Bonner, A. J., Lawryshyn, Y. and Pardalos, P. M: Graph Clustering Via Intra-Cluster Density Maximization -- Shvydun, S.: Computational Complexity of SRIC and LRIC indices -- Sifaleras, A. and Konstantaras, I: A survey on variable neighborhood search methods for supply network inventory -- Part II: Network Data Mining -- Ananyeva, M. and Makarov, I: GSM: Inductive Learning on Dynamic Graph Embeddings -- Averchenkova, A., Akhmetzyanova, A., Sudarikov, K., Sulimov, P., Makarov I. and Zhukov, L. E: Collaborator Recommender System based on Co-authorship Network Analysis -- Demochkin, K. and Savchenko, A: User Preference Prediction in a Set of Photos based on Neural Aggregation Network -- Makrushin , S.: Network structure and scheme analysis of the Russian language segment of Wikipedia -- Meshcheryakova, N., Shvydun, S. and Aleskerov, F: Indirect Influence Assessment in the Context of Retail Food Network -- Sokolova, A. D. and Savchenko, A. V: Facial clustering in video data using deep convolutional neural networks -- Part III: Network Applications -- Egamov, A.: The existence and uniqueness theorem for initial-boundary value problem of the same class of integro-differential PDEs -- Gradoselskaya, G., Karpov, I. and Shcheglova, T: Mapping of politically active groups on social networks of Russian regions (on the example of Karachay-Cherkessia Republic) -- Mikhailova, O., Gradoselskaya, G. and Kharlamov, A: Social Mechanisms of the Subject Area Formation. The Case of “Digital Economy -- Shcheglova, T., Gradoselskaya, G. and Karpov, I: Methodology for measuring polarization of political discourse: case of comparing oppositional and patriotic discourse in online social networks -- Zaytsev, D., Khvatsky, G., Talovsky, N. and Kuskova, V: Network Analysis Methodology of Policy Actors Identification and Power Evaluation (the case of the Unified State Exam introduction in Russia).
Record Nr. UNINA-9910483756203321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Network Models in Economics and Finance [[electronic resource] /] / edited by Valery A. Kalyagin, Panos M. Pardalos, Themistocles M. Rassias
Network Models in Economics and Finance [[electronic resource] /] / edited by Valery A. Kalyagin, Panos M. Pardalos, Themistocles M. Rassias
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (305 p.)
Disciplina 003.3
006.312
332
510
Collana Springer Optimization and Its Applications
Soggetto topico Mathematical models
Macroeconomics
Game theory
Physics
Data mining
Mathematical Modeling and Industrial Mathematics
Macroeconomics/Monetary Economics//Financial Economics
Game Theory, Economics, Social and Behav. Sciences
Applications of Graph Theory and Complex Networks
Data Mining and Knowledge Discovery
ISBN 3-319-09683-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Experimental design problems and Nash equilibrium solutions -- A Variational Approach to the Evolutionary Financial Equilibrium Problem with Memory Terms and Adaptive Constraints -- Robustness of sign correlation in market network analysis -- Two Classes of Games on Polyhedral Sets in Systems Economic Studies -- Densely Entangled Financial Systems -- Sigmoid Data Fitting by Least Squares Adjustment of Second and Third Divided Differences -- Financial Modeling under Multiple Criteria -- Agent-based Models of Stock Exchange: Analysis via Computational Simulation -- Network Centrality and Key Economic Indicators: A Case Study -- Network structures uncertainty for different markets -- Complexity Analysis and Systemic Risk in Finance: Some Methodological Issues -- A Dynamic Network Economic Model of a Service-Oriented Internet with Price and Quality Competition -- European Business Cycle Synchronization: A Complex Network Perspective -- A Novel Banking Supervision Method using the Minimum Dominating Set.
Record Nr. UNINA-9910299971503321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
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