LEADER 07010nam 22007935 450 001 9910438152103321 005 20200701014508.0 010 $a1-283-93422-1 010 $a1-4614-5574-X 024 7 $a10.1007/978-1-4614-5574-5 035 $a(CKB)2670000000316168 035 $a(EBL)1081953 035 $a(OCoLC)823388517 035 $a(SSID)ssj0000870747 035 $a(PQKBManifestationID)11474729 035 $a(PQKBTitleCode)TC0000870747 035 $a(PQKBWorkID)10819339 035 $a(PQKB)10048429 035 $a(DE-He213)978-1-4614-5574-5 035 $a(MiAaPQ)EBC1081953 035 $a(PPN)168303418 035 $a(EXLCZ)992670000000316168 100 $a20121211d2013 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aModels, Algorithms, and Technologies for Network Analysis$b[electronic resource] $eProceedings of the First International Conference on Network Analysis /$fedited by Boris I. Goldengorin, Valery A. Kalyagin, Panos M. Pardalos 205 $a1st ed. 2013. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2013. 215 $a1 online resource (243 p.) 225 1 $aSpringer Proceedings in Mathematics & Statistics,$x2194-1009 ;$v32 300 $aDescription based upon print version of record. 311 $a1-4939-0174-5 311 $a1-4614-5573-1 320 $aIncludes bibliographical references and index. 327 $aModels, 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 327 $aReferencesAn 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 327 $aNetwork-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 327 $aHow 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 327 $aIntegrated 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 327 $a5.3.2 Sequencing of Production Batches 330 $aThis volume contains a selection of contributions from the "First International Conference in Network Analysis," held at the University of Florida, Gainesville, on December 14-16, 2011. The remarkable diversity of fields that take advantage of Network Analysis makes the endeavor of gathering up-to-date material in a single compilation a useful, yet very difficult, task. The purpose of this volume is to overcome this difficulty by collecting the major results found by the participants and combining them in one easily accessible compilation. Network analysis has become a major research topic over the last several years. The broad range of applications that can be described and analyzed by means of a network is bringing together researchers, practitioners and other scientific communities from numerous fields such as Operations Research, Computer Science, Transportation, Energy, Social Sciences, and more. The contributions not only come from different fields, but also cover a broad range of topics relevant to the theory and practice of network analysis, including the reliability of complex networks, software, theory, methodology, and applications. 410 0$aSpringer Proceedings in Mathematics & Statistics,$x2194-1009 ;$v32 606 $aMathematical optimization 606 $aCombinatorics 606 $aOperations research 606 $aManagement science 606 $aOptimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26008 606 $aCombinatorics$3https://scigraph.springernature.com/ontologies/product-market-codes/M29010 606 $aOperations Research, Management Science$3https://scigraph.springernature.com/ontologies/product-market-codes/M26024 615 0$aMathematical optimization. 615 0$aCombinatorics. 615 0$aOperations research. 615 0$aManagement science. 615 14$aOptimization. 615 24$aCombinatorics. 615 24$aOperations Research, Management Science. 676 $a003.72 676 $a658.4/033 702 $aGoldengorin$b Boris I$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKalyagin$b Valery A$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPardalos$b Panos M$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aInternational Conference on Network Analysis 906 $aBOOK 912 $a9910438152103321 996 $aModels, algorithms and technologies for network analysis$91409908 997 $aUNINA