Description
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 engineering for different tasks. Topics of focus include:- Analysis of Consensus-Building Time in Social Groups- Modeling of intersystem accidents in critical infrastructure systems- Stochastic approaches to analysis and modeling of multi-sources and big data- Performance evaluation of computational DoS attack on access point in Wireless LANs- Ranking methods for decision-making under uncertainty- Understanding time delay based Modeling & Diffusion of technological products- Role of soft computing in science and engineering- Complex system reliability analysis and optimization- Tree growth models in forest ecosystems modellingThis research book can be used as a reference for students in a final year undergraduate engineering course, such as mechanical, mechatronics, industrial, computer science, information technology, etc. Furthermore, the book can serve as a valuable reference for academics, engineers and researchers in these and related subject areas.
Table of Contents
1 Analysis of Consensus-Building Time in Social Groups Based on the Results of Statistical Modeling 2 Classification and Modeling of Intersystem Accidents in Critical Infrastructure Systems 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 Tools 4 Modeling and Performance Evaluation of Computational DoS Attack on an Access Point inWireless LANs 5 Development of Computation Algorithm and Ranking Methods for Decision-Making under Uncertainty 6 Understanding Time Delay Based Modeling and Diffusion of Technological Products 7 Role of Soft Computing in Science and Engineering 8 Complex System Reliability Analysis and Optimization
