The use of scientific computing to model, simulate, and optimize complex processes has become a standard methodology in many scientific fields, as well as in industry. Demonstrating that the use of state-of-the-art optimization techniques in a number of research areas has much potential for improvement, this book provides advanced numerical methods and the very latest results for the applications under consideration.
The use of scientific computing to model, simulate, and optimize complex processes has become a standard methodology in many scientific fields, as well as in industry. Demonstrating that the use of state-of-the-art optimization techniques in a number of research areas has much potential for improvement, this book provides advanced numerical methods and the very latest results for the applications under consideration.

Model Based Parameter Estimation: Theory and Applications
334
Model Based Parameter Estimation: Theory and Applications
334Product Details
ISBN-13: | 9783642303661 |
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Publisher: | Springer Berlin Heidelberg |
Publication date: | 02/21/2013 |
Series: | Contributions in Mathematical and Computational Sciences , #4 |
Edition description: | 2013 |
Pages: | 334 |
Product dimensions: | 6.10(w) x 9.25(h) x 0.04(d) |