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Computer Aided Methods in Optimal Design and Operations : Vilnius, Lithuania.

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Bogle, I. D. L.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore : World Scientific Publishing Company, 2006.
Colección:Series on computers and operations research.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Computer Aided Methods in Optimal Design and Operations :  |b Vilnius, Lithuania. 
260 |a Singapore :  |b World Scientific Publishing Company,  |c 2006. 
300 |a 1 online resource (238 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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490 1 |a Series on Computers and Operations Research 
588 0 |a Print version record. 
505 0 |a Preface; Contents; 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. 
505 8 |a 3. BB Algorithm Template4. 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. 
504 |a ReferencesStudying the Rate of Convergence of the Steepest Descent Optimisation Algorithm with Relaxation; 1. Introduction; 2. The General Quadratic Case; 3. The Steepest Descent Algorithm; 4. Results; 5. Conclusion; References; A Synergy Exploiting Evolutionary Approach to Complex Scheduling Problems; 1. Introduction; 2. Problem Definition; 3. Hyper-Scheduler; 4. Computational Experience; 5. Conclusion; References; Optimal Configuration, Design and Operation of Hybrid Batch Distillation/Pervaporation Processes; 1. Introduction; 2. The Batch Separation Synthesis Problem; 3. Conclusions. 
504 |a ReferencesOptimal Estimation of Parameters in Market Research Models; 1. Introduction; 2. Background; 3. Parameter Estimation for a Unit Time Period; 4. Parameter Estimation for a General Time Period; 5. Conclusion; References; A Redundancy Detection Approach to Mining Bioinformatics Data; 1. Introduction; 2. Formulation of the Key Equivalence Problem; 3. Solution Approach; 4. Experimental Results; 5. Conclusion; References; Optimal Open-Loop Recipe Generation for Particle Size Distribution Control in Semi-Batch Emulsion Polymerisation; 1. Introduction. 
505 8 |a 2. Particle Size Distribution Modelling and Numerical Solution3. Open-loop Control Studies; 4. Pareto Optimisation; 5. Conclusions; References; Application of Parallel Arrays for Parallelisation of Data Parallel Algorithms; 1. Introduction; 2. Parallel Programming Tools and Standards; 3. ParSol Features; 4. ParSol Structure and Usage; 5. Application of Par Sol to Porous Media Problem Solver; 6. Application of ParSol to Image Smoothing; 7. Conclusions; References; CAD Grammars: Extending Shape and Graph Grammars for Spatial Design Modelling; 1. Introduction; 2. Shape Grammars. 
500 |a 3. Graph Grammars. 
520 |a 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. Sample Chapte. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Computer-aided design  |v Congresses. 
650 0 |a Mathematical optimization  |v Congresses. 
650 0 |a Control theory  |v Congresses. 
650 0 |a Chemical engineering  |x Mathematical models  |v Congresses. 
650 6 |a Conception assistée par ordinateur  |v Congrès. 
650 6 |a Optimisation mathématique  |v Congrès. 
650 6 |a Théorie de la commande  |v Congrès. 
650 6 |a Génie chimique  |x Modèles mathématiques  |v Congrès. 
650 7 |a Chemical engineering  |x Mathematical models  |2 fast 
650 7 |a Computer-aided design  |2 fast 
650 7 |a Control theory  |2 fast 
650 7 |a Mathematical optimization  |2 fast 
655 7 |a Conference papers and proceedings  |2 fast 
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776 0 8 |i Print version:  |a Bogle, I.D.L.  |t Computer Aided Methods in Optimal Design and Operations : Vilnius, Lithuania.  |d Singapore : World Scientific Publishing Company, ©2006  |z 9789812569097 
830 0 |a Series on computers and operations research. 
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