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Record Nr. |
UNINA9910143083303321 |
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Autore |
Nagurney Anna |
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Titolo |
Fragile networks [[electronic resource] ] : identifying vulnerabilities and synergies in an uncertain world / / Anna Nagurney, Qiang Qiang |
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Pubbl/distr/stampa |
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Hoboken, NJ, : Wiley, c2009 |
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ISBN |
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1-282-23734-9 |
9786612237348 |
0-470-50113-8 |
0-470-50112-X |
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Descrizione fisica |
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1 online resource (340 p.) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Network analysis (Planning) |
System analysis |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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FRAGILE NETWORKS: Identifying Vulnerabilities and Synergies in an Uncertain World; CONTENTS; List of Figures; List of Tables; PART I NETWORK FUNDAMENTALS, EFFICIENCY MEASUREMENT, AND VULNERABILITY ANALYSIS; 1 Introduction and Overview; 2 Fundamental Methodologies, Network Models, and Algorithms; 2.1 Review of Variational Inequality Theory and its Relationships to Optimization; 2.2 Decentralized Decision-Making and User-Optimization; 2.2.1 The Network Equilibrium (U-O) Model with Fixed Demands; 2.2.2 Network Equilibrium (U-O) Models with Elastic Demands |
2.3 Centralized Decision-Making and System-Optimization2.3.1 The System-Optimization (S-O) Models; 2.3.2 System-Optimality Conditions; 2.4 Algorithms; 2.4.1 Equilibration Algorithms; 2.4.2 The Projection Method; 2.4.3 The Modified Projection Method; 2.4.4 The Euler Method; 2.5 Sources and Notes; 3 Network Performance Measurement and Robustness Analysis; 3.1 Some Preliminaries and Network Centrality Measures; 3.2 A Unified Network Performance Measure Based on Decentralized Decision-Making; 3.2.1 A Desirable |
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Property of the Network Performance Measure; 3.2.2 The Importance of Network Components |
3.2.3 Numerical Examples3.2.4 An Application of the New Network Measure to the Braess Network with Varying Demands; 3.3 A Network Robustness Measure Under Decentralized Decision-Making Behavior; 3.3.1 Some Theoretical Results for the Network Robustness Measure under BPR Functions and Fixed Demands; 3.3.2 A Braess-Inspired Network; 3.4 Relative Total Cost Indices for Assessing Network Robustness; 3.4.1 Theoretical Results for Networks with BPR Functions; 3.4.2 A Network Example; 3.5 Summary and Conclusions; 3.6 Sources and Notes; PART II APPLICATIONS AND EXTENSIONS |
4 Application of the Measures to Transportation Networks4.1 A Larger Fixed Demand Network; 4.2 The Sioux Falls Network; 4.2.1 Importance of Links in the Sioux Falls Network; 4.2.2 Robustness of the Sioux Falls Network; 4.2.3 The Relative Total Cost Indices for the Sioux Falls Network; 4.3 The Anaheim Network; 4.3.1 Robustness of the Anaheim Network; 4.3.2 The Relative Total Cost Indices for the Anaheim Network; 4.4 The Environmental Robustness and Link Importance of Transportation Networks; 4.4.1 Environmental Emissions |
4.4.2 Environmental Impact Assessment Indices for Transportation Networks4.4.3 Environmental Link Importance Identification and Ranking; 4.4.4 Numerical Examples; 4.5 Summary and Conclusions; 4.6 Sources and Notes; 5 Supply Chain Networks with Disruption Risks; 5.1 Introduction; 5.2 The Supply Chain Model with Disruption Risks and Random Demands; 5.2.1 The Behavior of the Manufacturers; 5.2.2 The Behavior of the Retailers; 5.2.3 The Market Equilibrium Conditions; 5.2.4 The Equilibrium Conditions of the Supply Chain; 5.3 A Weighted Supply Chain Performance Measure |
5.3.1 A Supply Chain Network Performance Measure |
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Sommario/riassunto |
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A unified treatment of the vulnerabilities that exist in real-world network systems-with tools to identify synergies for mergers and acquisitions Fragile Networks: Identifying Vulnerabilities and Synergies in an Uncertain World presents a comprehensive study of network systems and the roles these systems play in our everyday lives. This book successfully conceptualizes, defines, and constructs mathematically rigorous, computer-based tools for the assessment of network performance and efficiency, along with robustness and vulnerability analysis. The result is a thorough explorat |
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