LEADER 05877nam 2200721 a 450 001 9910823560203321 005 20230828213332.0 010 $a1-281-37325-7 010 $a9786611373252 010 $a981-277-295-2 035 $a(CKB)1000000000407516 035 $a(EBL)1679530 035 $a(OCoLC)879074278 035 $a(SSID)ssj0000127764 035 $a(PQKBManifestationID)11159629 035 $a(PQKBTitleCode)TC0000127764 035 $a(PQKBWorkID)10052520 035 $a(PQKB)11029380 035 $a(MiAaPQ)EBC1679530 035 $a(WSP)00006196 035 $a(Au-PeEL)EBL1679530 035 $a(CaPaEBR)ebr10201169 035 $a(CaONFJC)MIL137325 035 $a(EXLCZ)991000000000407516 100 $a20070123d2006 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aComputer aided methods in optimal design and operations$b[electronic resource] /$feditors, I. D. L. Bogle, J. Z?ilinskas 210 $aSingapore ;$aHackensack, NJ $cWorld Scientific Publishing$dc2006 215 $a1 online resource (238 p.) 225 1 $aSeries on computers and operations research ;$vv. 7 300 $a"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. 311 $a981-256-909-X 320 $aIncludes bibliographical references. 327 $aContents ; 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 327 $a2. 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 327 $a2. 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 327 $a4. 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 327 $a3. 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 327 $a2. The General Quadratic Case 330 $aThis book covers different topics on optimal design and operations with particular emphasis on chemical engineering applications. A wide range of optimization methods - deterministic, stochastic, global and hybrid - are considered. Containing papers presented at the bilateral workshop by British and Lithuanian scientists, the book brings together researchers' contributions from different fields - chemical engineering including reaction and separation processes, food and biological production, as well as business cycle optimization, bankruptcy, protein analysis and bioinformatics. Sample 410 0$aSeries on computers and operations research ;$vv. 7. 606 $aComputer-aided design$vCongresses 606 $aMathematical optimization$vCongresses 606 $aControl theory$vCongresses 606 $aChemical engineering$xMathematical models$vCongresses 615 0$aComputer-aided design 615 0$aMathematical optimization 615 0$aControl theory 615 0$aChemical engineering$xMathematical models 676 $a620/.00420285 701 $aBogle$b I. D. L$g(Ian David Lockhart)$01694292 701 $aZ?ilinskas$b J$g(Julius),$f1973-$01694293 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910823560203321 996 $aComputer aided methods in optimal design and operations$94072748 997 $aUNINA