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140503s2006 si o 000 0 eng d |
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|a (OCoLC)879074278
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|a T385
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|a 660.2815
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|a UAMI
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|a Bogle, I. D. L.
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|a Computer Aided Methods in Optimal Design and Operations :
|b Vilnius, Lithuania.
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260 |
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|a Singapore :
|b World Scientific Publishing Company,
|c 2006.
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300 |
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|a 1 online resource (238 pages)
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Series on Computers and Operations Research
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|a Print version record.
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|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.
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|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.
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|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.
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|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.
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|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.
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|a 3. Graph Grammars.
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|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.
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590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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650 |
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|a Computer-aided design
|v Congresses.
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650 |
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|a Mathematical optimization
|v Congresses.
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650 |
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|a Control theory
|v Congresses.
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650 |
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|a Chemical engineering
|x Mathematical models
|v Congresses.
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650 |
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|a Conception assistée par ordinateur
|v Congrès.
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650 |
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|a Optimisation mathématique
|v Congrès.
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650 |
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|a Théorie de la commande
|v Congrès.
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650 |
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|a Génie chimique
|x Modèles mathématiques
|v Congrès.
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650 |
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7 |
|a Chemical engineering
|x Mathematical models
|2 fast
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650 |
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7 |
|a Computer-aided design
|2 fast
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650 |
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|a Control theory
|2 fast
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650 |
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|a Mathematical optimization
|2 fast
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655 |
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|a Conference papers and proceedings
|2 fast
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758 |
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|i has work:
|a Computer aided methods in optimal design and operations (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCFHHbwmbQRjR7DXqR78qcd
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
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.
|
856 |
4 |
0 |
|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=1679530
|z Texto completo
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938 |
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|a EBL - Ebook Library
|b EBLB
|n EBL1679530
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994 |
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|a 92
|b IZTAP
|