This book describes recently developed mathematical models, methodologies, and case studies in diverse areas, including stock market analysis, portfolio optimization, classification techniques in economics, supply chain optimization, development of e-commerce applications, etc. It will be of interest to both theoreticians and practitioners working in economics and finance.

- 25 chapters of creative approaches to modeling, analysis, and synthesis of cooperative systems
- Research results from top researchers in the field of cooperative systems
- Exciting insights to cooperative systems which have increasingly played a larger and more important role in many aspects of military sciences, biology, communications, robotics, and decision making

In recent years, the banking industry has faced significant challenges due to deregulation, globalization, financial innovation, and intensified global competition. In response to these challenges, banks have adopted strategies to grow and expand their activities, with mergers and acquisitions (M&As) being one of the most popular over the last decade. This unique book thus discusses the use of quantitative classification methods for the prediction of bank acquisitions. With an overview of the M&A trends in the EU banking industry and a survey of the motives for M&As, the authors compare...

This book covers different topics on optimal design and operations with particular emphasis on chemical engineering applications. A wide range of optimizations methods -- deterministic, stochastic, global and hybrid -- are considered. Containing papers presented at the bilateral workshop by British and Lithuanian scientists, the book brings together researchers' contributions from different fields -- chemical engineering including reaction and separation processes, food and biological production, as well as business cycle optimization, bankruptcy, protein analysis and bioinformatics.

The main goal of the field of data mining is the analysis of large and complex datasets. Some useful datasets may be derived from business and industrial activities. This kind of data is known as 'enterprise data'.

This comprehensive reference text is a collection of important research findings on the latest developments in network modeling for optimization of smart cities. Such models can be used from outlining the fundamental concepts of urban development to the description and optimization of physical networks, such as power, water or telecommunications. Networks help us understand city economics and various aspects of human interactions within cities with particular applications in quality of life and the flow of people and goods. Finally, the natural environment and even the climate of cities can...