Stochastic Optimization Methods is popular PDF and ePub book, written by Kurt Marti in 2015-02-21, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Stochastic Optimization Methods can be Read Online from any device for your convenience.
Stochastic Optimization Methods Book PDF Summary
This book examines optimization problems that in practice involve random model parameters. It details the computation of robust optimal solutions, i.e., optimal solutions that are insensitive with respect to random parameter variations, where appropriate deterministic substitute problems are needed. Based on the probability distribution of the random data and using decision theoretical concepts, optimization problems under stochastic uncertainty are converted into appropriate deterministic substitute problems. Due to the probabilities and expectations involved, the book also shows how to apply approximative solution techniques. Several deterministic and stochastic approximation methods are provided: Taylor expansion methods, regression and response surface methods (RSM), probability inequalities, multiple linearization of survival/failure domains, discretization methods, convex approximation/deterministic descent directions/efficient points, stochastic approximation and gradient procedures and differentiation formulas for probabilities and expectations. In the third edition, this book further develops stochastic optimization methods. In particular, it now shows how to apply stochastic optimization methods to the approximate solution of important concrete problems arising in engineering, economics and operations research.
Detail Book of Stochastic Optimization Methods PDF
- Author : Kurt Marti
- Release : 21 February 2015
- Publisher : Springer
- ISBN : 9783662462140
- Genre : Business & Economics
- Total Page : 368 pages
- Language : English
- PDF File Size : 9,8 Mb
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