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[null,"1.","Record Nr.",null,"UNINA9910450792503321"]
[null,null,"Titolo",null,"Computer aided methods in optimal design and operations [[electronic resource] /] / editors, I. D. L. Bogle, J. Žilinskas"]
[null,null,"Pubbl/distr/stampa",null,"Singapore ; ; Hackensack, NJ, : World Scientific Publishing, c2006"]
[null,null,"ISBN",null,"1-281-37325-7"]
[{"$nulls":4},"9786611373252"]
[{"$nulls":4},"981-277-295-2"]
[null,null,"Descrizione fisica",null,"1 online resource (238 p.)"]
[null,null,"Collana",null,"Series on computers and operations research ; ; v. 7"]
[null,null,"Disciplina",null,"620/.00420285"]
[null,null,"Soggetti",null,"Computer-aided design"]
[{"$nulls":4},"Mathematical optimization"]
[{"$nulls":4},"Control theory"]
[{"$nulls":4},"Chemical engineering - Mathematical models"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"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."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"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"]
[{"$nulls":4},"2. Problem Statement and Mathematical Formulation                                                        3. Testing Procedure                           ; 4. An Iterative Solution Algorithm                                         ; 5. Computational Results                               ; 6. Conclusions                     ; References                 ; Implementation of Parallel Optimization Algorithms Using Generalized Branch and Bound Template                                                                                                     ; 1. Introduction"]
[{"$nulls":4},"2. General Branch and Bound Algorithm                                            3. BB Algorithm Template                               ; 4. Conclusions                     "]
[{"$nulls":4},"; References                 ; Application of Stochastic Approximation in Technical Design                                                                  ; 1. Introduction                      ; 2. Formulation of the Optimization Problem                                                 ; 3. Computer Modelling"]
[{"$nulls":4},"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"]
[{"$nulls":4},"3. Stochastic Procedure for Optimisation                                               4. Statistical Testing of the Optimality Hypothesis                                                          ; 5. Computer Study                        ; 6. Discussion and Conclusions                                    ; References                 ; Studying the Rate of Convergence of the Steepest Descent Optimisation Algorithm with Relaxation                                                                                                      ; 1. Introduction"]
[{"$nulls":4},"2. The General Quadratic Case"]
[null,null,null,"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"]