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Advanced Mathematical Techniques in Science and Engineering.
In recent years, mathematical techniques applied to novel disciplines within the science and engineering have experienced extraordinary growth. Advanced Mathematical Techniques in Science and Engineering focusses on a detailed range of mathematics applied within various fields of science and enginee...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Aalborg :
River Publishers,
2018.
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| Colección: | River Publishers series in management sciences and engineering.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Front Cover; Half Title Page; RIVER PUBLISHERS SERIES IN MANAGEMENTSCIENCES AND ENGINEERING; Title Page
- Advanced MathematicalTechniques in Scienceand Engineering; Copyright Page; Contents; Preface; Acknowledgements; List of Contributors; List of Figures; List of Tables; List of Abbreviations; Chapter 1
- Analysis of Consensus-Building Time in Social Groups Based on the Results of Statistical Modeling; 1.1 Introduction and Purpose of the Study; 1.2 Description of the Model for Consensus Based on Regular Markov Chains.
- 1.3 Specific Cases in the Model of Attaining Consensus in the Work of TC1.3.1 Domination; 1.3.2 Presence of Several Leaders; 1.3.3 Global Domination; 1.3.4 Responsibility Shift; 1.3.5 Coalitions; 1.4 Analysis of the General Case in the Consensus Model; 1.5 Management of the TCs by the National Standardization Body; 1.6 The Quality of Consensus; 1.7 Consensus-Building Model Description Based on Cellular Automata Methodology; 1.8 Study of Consensus-Building Model Based on Cellular Automata Methodology; 1.9 Conclusions and Results Interpretation; References.
- Chapter 2
- Classification and Modeling of Intersystem Accidents in Critical Infrastructure Systems2.1 Introduction; 2.2 Examples of Intersystem Failures; 2.3 Classification of Intersystem Failures; 2.4 Simulation of Intersystem Failures; 2.4.1 Gas Transmission Network Model; 2.4.2 Electric Network Model; 2.4.3 Interaction Model; 2.5 Results of Calculations; 2.6 Perturbance Propagation Functions; 2.7 Conclusion; References.
- Chapter 3
- Stochastic Approaches to Analysis and Modeling of Multi-Sources and Big Data in Tasks of Homeland Security: Socio-Economic and Socio-Ecological Crisis Control Tools3.1 Introduction; 3.1.1 Case Study: The Conflict; 3.2 Methodological Notes: Approach to Data Analysis; 3.2.1 Big Data Classification Approach; 3.2.2 Multisource Data Regularization and Optimization Approach; 3.3 Population Dynamics Assessment in the Crisis Area Using Multisource Data; 3.3.1 Population Assessment in Rural Areas; 3.3.2 Population Assessment in Urban Areas.
- 3.3.3 Satellite Observations and Data Integration Approach3.4 Assessment of the Economic Dynamics in the Crisis Area Using Multisource Data; 3.4.1 Analysis of Land-Use Structure Change: Markovâ#x80;#x99;s Chains Modeling of Satellite Data; 3.4.2 Satellite Data for Analysis of Land-Use Efficiency and Crop Structure Dynamics; 3.4.3 Data Integration Algorithm and Satellite Based Approach to Economic Activity Variations; 3.5 Assessment of Number and Dynamics of Illegal Armed Groups Using Big Data; 3.6 Assessment of Combatant and Non-Combatant Losses Using Multisource Data.