Our world faces an unprecedented energy crisis. Fuel shortages, skyrocketing energy prices, climate change, nuclear contamination, catastrophic oil spills and energy wars define the global scenario. The nonrenewable energy path of oil, natural gas, coal and nuclear is headed for a dead-end at an accelerated speed. In our race for survival we...

For many scientists and clinicians, obesity has at last come of age. When the editors were going through medical school and even specialist training in diabetes and endocrinology, obesity was a nonentity that fell out of the mainstream of ‘real’ diseases and was notable for being dull and unrewarding to treat. Admittedly, this was...

R is a high-level language and an environment for data analysis and graphics. The design of R was heavily influenced by two existing languages: Becker, Chambers and Wilks’ S and Sussman’s Scheme. The resulting language is very similar in appearance to S, but the underlying implementation and semantics are derived from Scheme. This...

Management and the Arts, Fourth Edition provides you with theory and practical applications from all management perspectives including planning, marketing, finance, economics, organizational, staffing, and group dynamics ALL related to an arts organization. Whether you are a manager in a theatre, museum, dance company, or opera, you will gain...

Delineating the tremendous growth in this area, the Handbook of Approximation Algorithms and Metaheuristics covers fundamental, theoretical topics as well as advanced, practical applications. It is the first book to comprehensively study both approximation algorithms and metaheuristics.

Starting with basic approaches, the...

The 21st-century world is a fundamentally interdependent place. Globalization has expanded, intensified, and accelerated social relations across world-time and world-space. The digital revolution has served as a catalyst for the creation of sprawling information and communication networks that enmesh individuals, states, and businesses alike....

Optimization is an integral part to science and engineering. Most real-world applications involve complex optimization processes, which are difficult to solve without advanced computational tools. With the increasing challenges of fulfilling optimization goals of current applications there is a strong drive to advance the development of...

Uncertain data is inherent in many important applications, such as environmental surveillance, market analysis, and quantitative economics research. Due to the importance of those applications and rapidly increasing amounts of uncertain data collected and accumulated, analyzing large collections of uncertain data has become an important task....

The purpose of Essentials of Modern Business Statistics with Microsoft® Excel is to give students, primarily in the fields of business administration and economics, an introduction to the field of statistics and its many applications. The text is applications oriented and written with the needs of the nonmathematician in mind; the...

Elements of Artificial Neural Networks provides a clearly organized general introduction, focusing on a broad range of algorithms, for students and others who want to use neural networks rather than simply study them.The authors, who have been developing and team teaching the material in a one-semester course over the past six years, describe...

Linear Programming deals with the problem of minimizing or maximizing a linear function in the presence of linear inequalities. Since the development of the simplex method by George B. Dantzig in 1947, linear programming has been extensively used in the military, industrial, governmental, and urban planning fields, among others. The...