Computer aided methods in optimal design and operations [[electronic resource] /] / editors, I. D. L. Bogle, J. Žilinskas

• Pubblicazione: Singapore ; ; Hackensack, NJ, : World Scientific Publishing, c2006
• Descrizione fisica: 1 online resource (238 p.)
• Disciplina: 620/.00420285
• Soggetto topico: Computer-aided design; Mathematical optimization; Control theory; Chemical engineering - Mathematical models
• Altri autori: BogleI. D. L (Ian David Lockhart) ŽilinskasJ <1973-> (Julius)
• Note generali: "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.
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: 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 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
• Sommario/riassunto: 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
• Titolo autorizzato: Computer aided methods in optimal design and operations
• ISBN: 1-281-37325-7; 9786611373252; 981-277-295-2
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910784701703321
• Lo trovi qui: Univ. Federico II
• Serie: Series on computers and operations research ; ; v. 7.