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Optimization of Stochastic Models: The Interface Between Simulation and Optimization (The Springer International Series in Engineering and
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Stochastic models are everywhere. In manufacturing, queuing models are used for modeling production processes, realistic inventory models are stochastic in nature. Stochastic models are considered in transportation and communication. Marketing models use stochastic descriptions of the demands and buyer's behaviors. In finance, market prices and exchange rates are assumed to be certain stochastic processes, and insurance claims appear at random times with random amounts.
To each decision problem, a cost function is associated. Costs may be direct or indirect, like loss of time, quality deterioration, loss in production or dissatisfaction of customers. In decision making under uncertainty, the goal is to minimize the expected costs. However, in practically all realistic models, the calculation of the expected costs is impossible due to the model complexity. Simulation is the only practicable way of getting insight into such models. Thus, the problem of optimal decisions can be seen as getting simulation and optimization effectively combined.
The field is quite new and yet the number of publications is enormous. This book does not even try to touch all work done in this area. Instead, many concepts are presented and treated with mathematical rigor and necessary conditions for the correctness of various approaches are stated.
Optimization of Stochastic Models: The Interface Between Simulation and Optimization is suitable as a text for a graduate level course on Stochastic Models or as a secondary text for a graduate level course in Operations Research.
- Sales Rank: #11039344 in Books
- Brand: Brand: Springer
- Published on: 1996-09-30
- Original language: English
- Number of items: 1
- Dimensions: 9.21" h x .88" w x 6.14" l, 1.50 pounds
- Binding: Hardcover
- 382 pages
- Used Book in Good Condition
Most helpful customer reviews
2 of 2 people found the following review helpful.
The price is not right, but an excellent book
By ELN
Perhaps I shouldn't argue with the publishers of an optimization textbook about price calculations, but how on earth did they come up with this figure? Unless you have corporate funds to back you up, go to the library and get it there.
Having said that, this is a terrific textbook, a neat reference on all the important results in stochastic optimization. Its presentation is clear and concise, and prerequisites are briefly gathered in no less than fourteen appendices. It would be ideal to have it on the shelf, but... have I mentioned the price?
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