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Most popular at the top
- Elsevier Science 1983; US$ 91.00
Introduction to Sensitivity and Stability Analysis in Nonlinear Programming more...
- Wiley 2009; US$ 192.00 US$ 166.40
A path-breaking account of Markov decision processes-theory and computation This book's clear presentation of theory, numerous chapter-end problems, and development of a unified method for the computation of optimal policies in both discrete and continuous time make it an excellent course text for graduate students and advanced undergraduates. Its... more...
- Princeton University Press 2010; US$ 67.50 US$ 54.00
Individuals and families make key decisions that impact many aspects of financial stability and determine the future of the economy. These decisions involve balancing current sacrifice against future benefits. People have to decide how much to invest in health care, exercise, their diet, and insurance. They must decide how much debt to take on, and... more...
- Springer US 2010; US$ 229.00
This comprehensive edited volume discusses the most recent advances within the field of financial engineering, focusing not only on the description of the existing areas in financial engineering research, but also on the new methodologies that have been developed for modeling and addressing financial engineering problems. more...
- Springer New York 2010; US$ 229.00
Hybrid Optimization focuses on the application of artificial intelligence and operations research techniques to solve combinatorial optimization problems. The text presents techniques for hybrid modeling, integrated solving strategies, decomposition techniques, use of relaxations, and search strategies. more...
- Hong Kong University Press, HKU 1999; US$ 26.00
This book aims to illustrate with practical examples the applications of linear optimization techniques. It is written in simple and easy to understand language and has put together a useful and comprehensive set of worked examples based on real life problems. more...
- Springer Berlin Heidelberg 2011; US$ 149.00
People face multiple objectives and need to make decisions in a state of uncertainty on a regular basis. This volume shows how random-like multiple objective decision making can help readers deal with this problem. more...