05877nam 2200721 a 450 991082356020332120230828213332.01-281-37325-79786611373252981-277-295-2(CKB)1000000000407516(EBL)1679530(OCoLC)879074278(SSID)ssj0000127764(PQKBManifestationID)11159629(PQKBTitleCode)TC0000127764(PQKBWorkID)10052520(PQKB)11029380(MiAaPQ)EBC1679530(WSP)00006196(Au-PeEL)EBL1679530(CaPaEBR)ebr10201169(CaONFJC)MIL137325(EXLCZ)99100000000040751620070123d2006 uy 0engur|n|---|||||txtccrComputer aided methods in optimal design and operations[electronic resource] /editors, I. D. L. Bogle, J. ŽilinskasSingapore ;Hackensack, NJ World Scientific Publishingc20061 online resource (238 p.)Series on computers and operations research ;v. 7"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.981-256-909-X Includes bibliographical references.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. Introduction2. 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. Introduction2. 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 Modelling4. 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 Estimators3. 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. Introduction2. The General Quadratic CaseThis 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>SampleSeries on computers and operations research ;v. 7.Computer-aided designCongressesMathematical optimizationCongressesControl theoryCongressesChemical engineeringMathematical modelsCongressesComputer-aided designMathematical optimizationControl theoryChemical engineeringMathematical models620/.00420285Bogle I. D. L(Ian David Lockhart)1694292Žilinskas J(Julius),1973-1694293MiAaPQMiAaPQMiAaPQBOOK9910823560203321Computer aided methods in optimal design and operations4072748UNINA