[PDF.51iv] Introduction to Applied Optimization (Springer Optimization and Its Applications)

Introduction to Applied Optimization (Springer Optimization and Its Applications)

[PDF.fb37] Introduction to Applied Optimization (Springer Optimization and Its Applications)

Introduction to Applied Optimization  Urmila Diwekar epub
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 | #4363057 in Books |  2008-08-28 | Original language:English | PDF # 1 |  9.21 x.75 x6.14l,1.25 | File type: PDF | 291 pages

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||1 of 1 people found the following review helpful.| explains key ideas|By W Boudville|In a relatively compact book, Diwekar manages to give detailed explanations of key methods in modern optimisation. These include simulated annealing and genetic algorithms. The former are inspired by ideas in statistical mechanics, and the latter by evolution.

Monte Carlo sampling is another important idea well described here. It use

• Provides well-written self-contained chapters, including problem sets and exercises, making it ideal for the classroom setting;
• Introduces applied optimization to the hazardous waste blending problem;
• Explores linear programming, nonlinear programming, discrete optimization, global optimization, optimization under uncertainty, multi-objective optimization, optimal control and stochastic optimal control;


You can specify the type of files you want, for your device.Introduction to Applied Optimization (Springer Optimization and Its Applications)   |  Urmila Diwekar. I really enjoyed this book and have already told so many people about it!



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