02513nam 2200493 a 450 991077896360332120230725054414.0(CKB)2550000000079083(EBL)864272(OCoLC)779141437(SSID)ssj0000943584(PQKBManifestationID)11559048(PQKBTitleCode)TC0000943584(PQKBWorkID)10995223(PQKB)10569786(OCoLC)778435121(MiAaPQ)EBC864272(EXLCZ)99255000000007908320120207d2011 uy 0engur|n|---|||||txtccrStochastic Lagrangian modeling for large eddy simulation of dispersed turbulent two-phase flows[electronic resource] /authored by Abdallah Sofiane BerroukSharjah, United Arab Emirates Bentham Science Publishers[2011]1 online resource (130 p.)Description based upon print version of record.1-60805-377-6 1-60805-296-6 Includes bibliographical references and index.01 Title.pdf; 02 Cover Page; 03 REVISED eBooks End User License Agreement-Website; 04 DEDICATION; 05 CONTENTS; 06 Foreword; 07 PREFACE; 08 CHAPTER 1; 09 CHAPTER 2; 10 CHAPTER 3; 11 CHAPTER 4; 12 CHAPTER 5; 13 CHAPTER 6; 14 CHAPTER 7; 15 CHAPTER 8; 16 Appendix A; 17 Appendix B; 19 Glossary; 20 Author Index; 21 Subject IndexUnderstanding the dispersion and the deposition of inertial particles convected by turbulent flows is a domain of research of considerable industrial interest. Inertial particle transport and dispersion are encountered in a wide range of flow configurations, whether they are of industrial or environmental character. Conventional models for turbulent dispersed flows do not appear capable of meeting the growing needs of chemical, mechanical and petroleum industries in this regard and physical environment testing is prohibitive. Direct Numerical Simulation (DNS) and Large Eddy Simulation (LES) haAtmospheric turbulenceAtmospheric turbulence.551.51/5Berrouk Abdallah Sofiane523344MiAaPQMiAaPQMiAaPQBOOK9910778963603321Stochastic Lagrangian Modeling for Large Eddy Simulation of Dispersed Turbulent Two-Phase Flows827122UNINA05375nam 2200697 a 450 991080934450332120240313144056.0978111860028311186002829781118600344111860034797811186001151118600118(CKB)2670000000336695(EBL)1124651(SSID)ssj0000904706(PQKBManifestationID)11476834(PQKBTitleCode)TC0000904706(PQKBWorkID)10921469(PQKB)11788453(Au-PeEL)EBL1124651(CaPaEBR)ebr10660627(CaONFJC)MIL527817(FINmELB)ELB178733(MiAaPQ)EBC1124651(OCoLC)828299271(Perlego)1013072(EXLCZ)99267000000033669520130222d2010 uy 0engur|n|---|||||txtccrApplications of combinatorial optimization /edited by Vangelis Th. Paschos1st ed.London ISTE ;Hoboken, N.J. Wiley20101 online resource (409 p.)Combinatorial optimization ;v. 3Description based upon print version of record.9781848211490 184821149X Cover; Applications of Combinatorial Optimization; Title Page; Copyright Page; Table of Contents; Preface; Chapter 1. Airline Crew Pairing Optimization; 1.1. Introduction; 1.2. Definition of the problem; 1.2.1. Constructing subnetworks; 1.2.2. Pairing costs; 1.2.3. Model; 1.2.4. Case without resource constraints; 1.3. Solution approaches; 1.3.1. Decomposition principles; 1.3.2. Column generation, master problem and subproblem; 1.3.3. Branching methods for finding integer solutions; 1.4. Solving the subproblem for column generation; 1.4.1. Mathematical formulation1.4.2. General principle of effective label generation1.4.3. Case of one single resource: the bucket method; 1.4.4. Case of many resources: reduction of the resource space; 1.5. Conclusion; 1.6. Bibliography; Chapter 2. The Task Allocation Problem; 2.1. Presentation; 2.2. Definitions and modeling; 2.2.1. Definitions; 2.2.2. The processors; 2.2.3. Communications; 2.2.4. Tasks; 2.2.5. Allocation types; 2.2.6. Allocation/scheduling; 2.2.7. Modeling; 2.3. Review of the main works; 2.3.1. Polynomial cases; 2.3.2. Approximability; 2.3.3. Approximate solution; 2.3.4. Exact solution2.3.5. Independent tasks case2.4. A little-studied model; 2.4.1. Model; 2.4.2. A heuristic based on graphs; 2.5. Conclusion; 2.6. Bibliography; Chapter 3. A Comparison of Some Valid Inequality Generation Methods for General 0-1 Problems; 3.1. Introduction; 3.2. Presentation of the various techniques tested; 3.2.1. Exact separation with respect to a mixed relaxation; 3.2.2. Approximate separation using a heuristic; 3.2.3. Restriction + separation + relaxed lifting (RSRL); 3.2.4. Disjunctive programming and the lift and project procedure; 3.2.5. Reformulation-linearization technique (RLT)3.3. Computational results3.3.1. Presentation of test problems; 3.3.2. Presentation of the results; 3.3.3. Discussion of the computational results; 3.4. Bibliography; Chapter 4. Production Planning; 4.1. Introduction; 4.2. Hierarchical planning; 4.3. Strategic planning and productive system design; 4.3.1. Group technology; 4.3.2. Locating equipment; 4.4. Tactical planning and inventory management; 4.4.1. A linear programming model for medium-term planning; 4.4.2. Inventory management; 4.4.3. Wagner and Whitin model; 4.4.4. The economic order quantity model (EOQ)4.4.5. The EOQ model with joint replenishments4.5. Operations planning and scheduling; 4.5.1. Tooling; 4.5.2. Robotic cells; 4.6. Conclusion and perspectives; 4.7. Bibliography; Chapter 5. Operations Research and Goods Transportation; 5.1. Introduction; 5.2. Goods transport systems; 5.3. Systems design; 5.3.1. Location with balancing requirements; 5.3.2. Multiproduct production-distribution; 5.3.3. Hub location; 5.4. Long-distance transport; 5.4.1. Service network design; 5.4.2. Static formulations; 5.4.3. Dynamic formulations; 5.4.4. Fleet management; 5.5. Vehicle routing problems5.5.1. Definitions and complexityCombinatorial optimization is a multidisciplinary scientific area, lying in the interface of three major scientific domains: mathematics, theoretical computer science and management. The three volumes of the Combinatorial Optimization series aims to cover a wide range of topics in this area. These topics also deal with fundamental notions and approaches as with several classical applications of combinatorial optimization. "Applications of Combinatorial Optimization" is presenting a certain number among the most common and well-known applications of Combinatorial Optimization.ISTECombinatorial optimizationCombinatorial optimization.519.64Paschos Vangelis Th944252MiAaPQMiAaPQMiAaPQBOOK9910809344503321Applications of combinatorial optimization4017314UNINA