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[null,"1.","Record Nr.",null,"UNINA9910818260103321"]
[null,null,"Autore",null,"Huang Haibo (Engineering professor)"]
[null,null,"Titolo",null,"Multiphase lattice Boltzmann methods : theory and application / / Haibo Huang, Michael C. Sukop, Xi-Yun Lu"]
[null,null,"Pubbl/distr/stampa",null,"Chichester, [England] : , : Wiley Blackwell, , 2015"]
[{"$nulls":4},"©2015"]
[null,null,"ISBN",null,"1-118-97134-5"]
[{"$nulls":4},"1-118-97145-0"]
[{"$nulls":4},"1-118-97144-2"]
[null,null,"Descrizione fisica",null,"1 online resource (390 p.)"]
[null,null,"Disciplina",null,"530.132"]
[null,null,"Soggetti",null,"Lattice Boltzmann methods"]
[{"$nulls":4},"Multiphase flow"]
[{"$nulls":4},"Fluid dynamics"]
[{"$nulls":4},"Fluid dynamics - Mathematical models"]
[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","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Cover; Title Page; Copyright; Contents; Preface; About the companion website; Chapter 1 Introduction; 1.1 History of the Lattice Boltzmann method; 1.2 The Lattice Boltzmann method; 1.3 Multiphase LBM; 1.3.1 Color-gradient model; 1.3.2 Shan-Chen model; 1.3.3 Free-energy model; 1.3.4 Interface tracking model; 1.4 Comparison of models; 1.5 Units in this book and parameter conversion; 1.6 Appendix: Einstein summation convention; 1.6.1 Kronecker δ function; 1.6.2 Lattice tensors; 1.7 Use of the Fortran code in the book; Chapter 2 Single-component multiphase Shan-Chen-type model; 2.1 Introduction"]
[{"$nulls":4},"2.1.1 \"\"Equilibrium\"\" velocity in the SC model 2.1.2 Inter-particle forces in the SC SCMP LBM; 2.2 Typical equations of state; 2.2.1 Parameters in EOS; 2.3 Thermodynamic consistency; 2.3.1 The SCMP LBM EOS; 2.3.2 Incorporating other EOS into the SC model; 2.4 Analytical surface tension; 2.4.1 Inter-particle Force Model A; 2.4.2 Inter-particle Force Model B; 2.5 Contact angle; 2.6 Capillary rise; 2.7 Parallel flow and relative permeabilities; 2.8 Forcing term in the SC model; 2.8.1 Schemes to incorporate the body force; 2.8.2 Scheme overview; 2.8.3 Theoretical analysis"]
[{"$nulls":4},"2.8.4 Numerical results and discussion 2.9 Multirange pseudopotential (Inter-particle Force Model B); 2.10 Conclusions; 2.11 Appendix A: "]
[{"$nulls":4},"Analytical solution for layered multiphase flow in a channel; 2.12 Appendix B: FORTRAN code to simulate single component multiphase droplet contacting a wall, as shown in Figure 2.7(c); Chapter 3 Shan and Chen-type multi-component multiphase models; 3.1 Multi-component multiphase SC LBM; 3.1.1 Fluid-fluid cohesion and fluid-solid adhesion; 3.2 Derivation of the pressure; 3.2.1 Pressure in popular papers (2D); 3.2.2 Pressure in popular papers (3D)"]
[{"$nulls":4},"3.3 Determining Gc and the surface tension 3.4 Contact angle; 3.4.1 Application of Young's equation to MCMP LBM; 3.4.2 Contact angle measurement; 3.4.3 Verification of proposed equation; 3.5 Flow through capillary tubes; 3.6 Layered two-phase flow in a 2D channel; 3.7 Pressure or velocity boundary conditions; 3.7.1 Boundary conditions for 2D simulations; 3.7.2 Boundary conditions for 3D simulations; 3.8 Displacement in a 3D porous medium; Chapter 4 Rothman-Keller multiphase Lattice Boltzmann model; 4.1 Introduction; 4.2 RK color-gradient model"]
[{"$nulls":4},"4.3 Theoretical analysis (Chapman-Enskog expansion)4.3.1 Discussion of above formulae; 4.4 Layered two-phase flow in a 2D channel; 4.4.1 Cases of two fluids with identical densities; 4.4.2 Cases of two fluids with different densities; 4.5 Interfacial tension and  isotropy of the RK model; 4.5.1 Interfacial tension; 4.5.2 Isotropy; 4.6 Drainage and capillary filling; 4.7 MRT RK model; 4.8 Contact angle; 4.8.1 Spurious currents; 4.9 Tests of inlet/outlet boundary conditions; 4.10 Immiscible displacements in porous media; 4.11 Appendix A; 4.12 Appendix B"]
[{"$nulls":4},"Chapter 5 Free-energy-based multiphase Lattice Boltzmann model"]
[null,null,null,"Sommario/riassunto","Theory and Application of Multiphase Lattice Boltzmann Methods presents a comprehensive review of all popular multiphase Lattice Boltzmann Methods developed thus far and is aimed at researchers and practitioners within relevant Earth Science disciplines as well as Petroleum, Chemical, Mechanical and Geological Engineering. Clearly structured throughout, this book will be an invaluable reference on the current state of all popular multiphase Lattice Boltzmann Methods (LBMs). The advantages and disadvantages of each model are presented in an accessible manner to enable the reader to choose the"]
[null,"2.","Record Nr.",null,"UNINA9910739479903321"]
[null,null,"Titolo",null,"Business Intelligence : Second European Summer School, eBISS 2012, Brussels, Belgium, July 15-21, 2012, Tutorial Lectures / / edited by Marie-Aude Aufaure, Esteban Zimányi"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013"]
[null,null,"ISBN",null,"3-642-36318-0"]
[null,null,"Edizione",null,"[1st ed. 2013.]"]
[null,null,"Descrizione fisica",null,"1 online resource (X, 235 p. 83 illus.)"]
[null,null,"Collana",null,"Lecture Notes in Business Information Processing, , 1865-1356 ; ; 138"]
[null,null,"Disciplina",null,"650"]
[{"$nulls":4},"658.05"]
[null,null,"Soggetti",null,"Business information services"]
[{"$nulls":4},"Information technology - Management"]
[{"$nulls":4},"Database management"]
[{"$nulls":4},"Information storage and retrieval systems"]
[{"$nulls":4},"Computer science - Mathematics"]
[{"$nulls":4},"Discrete mathematics"]
[{"$nulls":4},"Mathematical statistics"]
[{"$nulls":4},"IT in Business"]
[{"$nulls":4},"Computer Application in Administrative Data Processing"]
[{"$nulls":4},"Database Management"]
[{"$nulls":4},"Information Storage and Retrieval"]
[{"$nulls":4},"Discrete Mathematics in Computer Science"]
[{"$nulls":4},"Probability and Statistics in Computer Science"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Managing Complex Multidimensional Data -- An Introduction to Business Process Modeling -- Machine Learning Strategies for Time Series Forecasting -- Knowledge Discovery from Constrained Relational Data: A Tutorial on Markov Logic Networks -- Large Graph Mining: Recent Developments, Challenges and Potential Solutions -- Big Data Analytics on Modern Hardware Architectures: A Technology Survey -- An Introduction to Multicriteria Decision Aid: The PROMETHEE and GAIA Methods -- Knowledge Harvesting for Business Intelligence -- Business Semantics as an Interface between Enterprise Information Management and the Web of Data: A Case Study in the Flemish Public "]
[{"$nulls":4},"Administration."]
[null,null,null,"Sommario/riassunto","To large organizations, business intelligence (BI) promises the capability of collecting and analyzing internal and external data to generate knowledge and value, thus providing decision support at the strategic, tactical, and operational levels. BI is now impacted by the “Big Data” phenomena and the evolution of society and users. In particular, BI applications must cope with additional heterogeneous (often Web-based) sources, e.g., from social networks, blogs, competitors’, suppliers’, or distributors’ data, governmental or NGO-based analysis and papers, or from research publications. In addition, they must be able to provide their results also on mobile devices, taking into account location-based or time-based environmental data. The lectures held at the Second European Business Intelligence Summer School (eBISS), which are presented here in an extended and refined format, cover not only established BI and BPM technologies, but extend into innovative aspects that are important in this new environment and for novel applications, e.g., machine learning, logic networks, graph mining, business semantics, large-scale data management and analysis, and multicriteria and collaborative decision making. Combining papers by leading researchers in the field, this volume equips the reader with the state-of-the-art background necessary for creating the future of BI. It also provides the reader with an excellent basis and many pointers for further research in this growing field."]