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This book will cover the issues related to optimization of engineering problems using heuristic techniques, with an industrial outlook. It... Læs mere
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This book covers developments and advances of algorithm based optimization techniques These techniques were only used for non-engineering problems. This book applies them to engineering problems.
Bemærk: Kan ikke leveres før jul.
Updated to conform to Mathematica® 7.0, this second edition shows how to easily create simulations from templates and solve problems using Mathematica. Along... Læs mere
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.
A computationally oriented comparison of solution algorithms for two stage and jointly chance constrained stochastic linear programming problems, this resource presents comparative computational results with several major stochastic programming solution approaches.
Bemærk: Kan ikke leveres før jul.
Since its first edition, there have been many interesting developments in the use of "likelihood-free" methods of Bayesian inference for complex... Læs mere
Bemærk: Kan ikke leveres før jul.
Method of Variation of Parameters for Dynamic Systems is a clear exposition of this important topic in control theory, which is not covered by any other text.
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.
Als interdisziplinäre Wissenschaft erhält sie viele Anstöße von außerhalb der Mathematik, und ihre Modelle und Methoden finden... Læs mere
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This book presents the fundamental notions and advanced mathematical tools in the stochastic modeling of uncertainties and their quantification for large-scale computational models in sciences and engineering.
Bemærk: Kan ikke leveres før jul.
This book gives a compact exposition of the fundamentals of the theory of locally convex topological vector spaces. Overall, this book develops... Læs mere