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Record Nr. |
UNINA9910450792503321 |
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Titolo |
Computer aided methods in optimal design and operations [[electronic resource] /] / editors, I. D. L. Bogle, J. Žilinskas |
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Pubbl/distr/stampa |
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Singapore ; ; Hackensack, NJ, : World Scientific Publishing, c2006 |
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ISBN |
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1-281-37325-7 |
9786611373252 |
981-277-295-2 |
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Descrizione fisica |
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1 online resource (238 p.) |
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Collana |
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Series on computers and operations research ; ; v. 7 |
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Altri autori (Persone) |
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BogleI. D. L (Ian David Lockhart) |
ŽilinskasJ <1973-> (Julius) |
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Disciplina |
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Soggetti |
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Computer-aided design |
Mathematical optimization |
Control theory |
Chemical engineering - Mathematical models |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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"Containing papers presented at the bilateral workshop by British and Lithuanian scientists, the book brings together researchers' contributions from different fields--chemical engineering including reaction and separation processes, food and biological production, as well as business cycle optimization, bankruptcy, protein analysis and bioinformatics"--P. [4] of cover. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Contents ; Preface ; Hybrid Methods for Optimisation ; 1. Introduction ; 2. Hybrid Methods for Optimisation ; 3. Embedded Hybrid Methods ; 4. Sequential Hybrid Methods ; 5. Illustrative Case Study ; 6. Discussion ; References ; An MILP Model for Multi-class Data Classification ; 1. Introduction |
2. Problem Statement and Mathematical Formulation 3. Testing Procedure ; 4. An Iterative Solution Algorithm ; 5. Computational Results ; 6. Conclusions ; References ; Implementation of Parallel Optimization Algorithms Using Generalized Branch and |
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Bound Template ; 1. Introduction |
2. General Branch and Bound Algorithm 3. BB Algorithm Template ; 4. Conclusions ; References ; Application of Stochastic Approximation in Technical Design ; 1. Introduction ; 2. Formulation of the Optimization Problem ; 3. Computer Modelling |
4. Application of Order Statistic to Optimality Testing 5. Computer Modelling ; 6. Conclusion ; References ; Application of the Monte-Carlo Method to Stochastic Linear Programming ; 1. Introduction ; 2. Stochastic Differentiation and Monte-Carlo Estimators |
3. Stochastic Procedure for Optimisation 4. Statistical Testing of the Optimality Hypothesis ; 5. Computer Study ; 6. Discussion and Conclusions ; References ; Studying the Rate of Convergence of the Steepest Descent Optimisation Algorithm with Relaxation ; 1. Introduction |
2. The General Quadratic Case |
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Sommario/riassunto |
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This book covers different topics on optimal design and operations with particular emphasis on chemical engineering applications. A wide range of optimization methods - deterministic, stochastic, global and hybrid - are considered. Containing papers presented at the bilateral workshop by British and Lithuanian scientists, the book brings together researchers' contributions from different fields - chemical engineering including reaction and separation processes, food and biological production, as well as business cycle optimization, bankruptcy, protein analysis and bioinformatics. <i>Sample |
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