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• Mathematical principles.- Conservation equations.- Turbulent flows.- Discretization of conservation equations.- Computational mesh.
• (source: Nielsen Book Data)

The properties and effects of flows are important in many areas of science and engineering - their prediction can be achieved through analytical, experimental and computational fluid mechanics. In this essential, Karim Ghaib introduces computational fluid dynamics. After an overview of mathematical principles, the author formulates the conservation equations of fluid mechanics and explains turbulence models. He describes the most important numerical methods and then gives types and evaluation criteria of computational meshes. This essential book is thus recommended to both the beginner and the user in the field of computational fluid dynamics.
(source: Nielsen Book Data)

• Aim and structure of the book.- Conservation equations of fluid mechanics.- Discretization.- Computational meshes.- Solution procedure.- Procedure of a numerical flow calculation.- Three application examples.
• (source: Nielsen Book Data)

This textbook and exercise book is aimed at future users of computational fluid dynamics software. In addition to the comprehensibly presented basics, the focus is on technical examples treated in detail with supplementary practical hints. Comprehension questions including applications give the beginner confidence in fundamental relationships. The original 4th German edition has been adapted to the latest program version ANSYS 18.1.
(source: Nielsen Book Data)

• Chapter 1. Introduction.- Chapter 2. Conservation Equations Physical and Mathematical Aspects.- Chapter 3. The Finite Volume Method.- Chapter 4. Solution of the Linear System.- Chapter 5. Advection and Diffusion Interpolation Functions.- Chapter 6.
• Three-Dimensional Advection/Diffusion of.- Chapter 7. Finding the Velocity Field Pressure-Velocity Couplings.- Chapter 8. All Speed Flows Calculation Coupling.- Chapter 9. Two and Three-Dimensional Parabolic Flows.- Chapter 10. General Recommendations for Conceiving and Testing Your Code.- Chapter 11. Introducing General Grids Discretization.- Chapter 12. Coordinate Transformation General Curvilinear Coordinate Systems.- Chapter 13. Unstructured Grids.- Chapter 14. Pressure Instabilities from Navier-Stokes to Biot's Consolidation.- Chapter 15. Applications.
• (source: Nielsen Book Data)

This book presents the developments of the finite volume method applied to fluid flows, starting from the foundations of the method and reaching the latest approaches using unstructured grids. It helps students learn progressively, creating a strong background on CFD. The text is divided into two parts. The first one is about the basic concepts of the finite volume method, while the second one presents the formulation of the finite volume method for any kind of domain discretization. In the first part of the text, for the sake of simplicity, the developments are done using the Cartesian coordinate system, without prejudice to the complete understanding. The second part extends this knowledge to curvilinear and unstructured grids. As such, the book contains material for introductory courses on CFD for under and graduate students, as well as for more advanced students and researchers.
(source: Nielsen Book Data)

• Front Matter
• CFD Numerical Models
• Mesh Convergence and Barriers
• Mesh Representation
• Geometric Error Estimate
• Multiscale Adaptation for Steady Simulations
• Multiscale Convergence and Certification in CFD
• References
• Index
• Summary of Volume 2
• Other titles from iSTE in Numerical Methods in Engineering

Simulation technology, and computational fluid dynamics (CFD) in particular, is essential in the search for solutions to the modern challenges faced by humanity. Revolutions in CFD over the last decade include the use of unstructured meshes, permitting the modeling of any 3D geometry. New frontiers point to mesh adaptation, allowing not only seamless meshing (for the engineer) but also simulation certification for safer products and risk prediction. Mesh Adaptation for Computational Dynamics 1 is the first of two volumes and introduces basic methods such as feature-based and multiscale adaptation for steady models. Also covered is the continuous Riemannian metrics formulation which models the optimally adapted mesh problem into a pure partial differential statement. A number of mesh adaptative methods are defined based on a particular feature of the simulation solution. This book will be useful to anybody interested in mesh adaptation pertaining to CFD, especially researchers, teachers and students.

• 1. CFD Numerical Models.
• 2. Mesh Convergence and Barriers.
• 3. Mesh Representation.
• 4. Geometric Error Estimate.
• 5. Multiscale Adaptation for Steady Simulations.
• 6. Multiscale Convergence and Certification in CFD.
• (source: Nielsen Book Data)

Simulation technology, and computational fluid dynamics (CFD) in particular, is essential in the search for solutions to the modern challenges faced by humanity. Revolutions in CFD over the last decade include the use of unstructured meshes, permitting the modeling of any 3D geometry. New frontiers point to mesh adaptation, allowing not only seamless meshing (for the engineer) but also simulation certification for safer products and risk prediction. Mesh Adaptation for Computational Dynamics 1 is the first of two volumes and introduces basic methods such as feature-based and multiscale adaptation for steady models. Also covered is the continuous Riemannian metrics formulation which models the optimally adapted mesh problem into a pure partial differential statement. A number of mesh adaptative methods are defined based on a particular feature of the simulation solution. This book will be useful to anybody interested in mesh adaptation pertaining to CFD, especially researchers, teachers and students.
(source: Nielsen Book Data)

• 1. Nonlinear Corrector for CFD.
• 2. Multi-scale Adaptation for Unsteady Flows.
• 3. Multi-rate Time Advancing.
• 4. Goal-Oriented Adaptation for Inviscid Steady Flows.
• 5. Goal-Oriented Adaptation for Viscous Steady Flows.
• 6. Norm-Oriented Formulations.
• 7. Goal-Oriented Adaptation for Unsteady Flows.
• 8. Third-Order Unsteady Adaptation.
• (source: Nielsen Book Data)

Simulation technology, and computational fluid dynamics (CFD) in particular, is essential in the search for solutions to the modern challenges faced by humanity. Revolutions in CFD over the last decade include the use of unstructured meshes, permitting the modeling of any 3D geometry. New frontiers point to mesh adaptation, allowing not only seamless meshing (for the engineer) but also simulation certification for safer products and risk prediction. Mesh Adaptation for Computational Dynamics 2 is the second of two volumes and introduces topics including optimal control formulation, minimizing a goal function, and extending the steady algorithm to unsteady physics. Also covered are multi-rate strategies, steady inviscid flows in aeronautics and an extension to viscous flows. This book will be useful to anybody interested in mesh adaptation pertaining to CFD, especially researchers, teachers and students.
(source: Nielsen Book Data)

• Nonlinear Corrector for CFD
• Multi-scale Adaptation for Unsteady Flows
• Multi-rate Time Advancing
• Goal-Oriented Adaptation for Inviscid Steady Flows
• Goal-Oriented Adaptation for Viscous Steady Flows
• Norm-Oriented Formulations
• Goal-Oriented Adaptation for Unsteady Flows
• Third-Order Unsteady Adaptation
• References
• Index
• Summary of Volume 1
• Other titles from ISTE in Numerical Methods in Engineering.

Simulation technology, and computational fluid dynamics (CFD) in particular, is essential in the search for solutions to the modern challenges faced by humanity. Revolutions in CFD over the last decade include the use of unstructured meshes, permitting the modeling of any 3D geometry. New frontiers point to mesh adaptation, allowing not only seamless meshing (for the engineer) but also simulation certification for safer products and risk prediction. Mesh Adaptation for Computational Dynamics 2 is the second of two volumes and introduces topics including optimal control formulation, minimizing a goal function, and extending the steady algorithm to unsteady physics. Also covered are multi-rate strategies, steady inviscid flows in aeronautics and an extension to viscous flows. This book will be useful to anybody interested in mesh adaptation pertaining to CFD, especially researchers, teachers and students.

• Chapter 1: Introduction to Multiphase Flow Basic Equations.-
• Chapter 2: Constitutive Equations with Kinetic Theory of Granular Flow.-
• Chapter 3: Homogeneous and Nonhomogeneous Interfacial Momentum Closure Experimental Foundation.-
• Chapter 4: Tutorial for Numerical Methods and Computer Programs.-
• Chapter 5: Cases for Numerical Simulations of Fluidized bed Systems.
• (source: Nielsen Book Data)

This book is for engineers and students to solve issues concerning the fluidized bed systems. It presents an analysis that focuses directly on the problem of predicting the fluid dynamic behavior which empirical data is limited or unavailable. The second objective is to provide a treatment of computational fluidization dynamics that is readily accessible to the non-specialist. The approach adopted in this book, starting with the formulation of predictive expressions for the basic conservation equations for mass and momentum using kinetic theory of granular flow. The analyses presented in this book represent a body of simulations and experiments research that has appeared in numerous publications over the last 20 years. This material helps to form the basis for university course modules in engineering and applied science at undergraduate and graduate level, as well as focused, post-experienced courses for the process, and allied industries.
(source: Nielsen Book Data)

• Introductions
• Simplified and Highly Stable Lattice Boltzmann Methodology
• Evaluations of Simplified and Highly Stable Lattice Boltzmann Methodology
• Simplified Lattice Boltzmann Method for Non-Newtonian and Thermal Flows
• Immersed Boundary - Simplified Lattice Boltzmann Method
• Simplified Axisymmetric Lattice Boltzmann Method
• Simplified Multiphase Lattice Boltzmann Method
• Highly Accurate Simplified Lattice Boltzmann Method for Incompressible Flows
• Bibliography
• Appendices: Sample Code of SMLBM: 2D Laplace Law
• Sample Code of HSLBM: 3D Natural Convection in a Cubic Cavity--.
• (source: Nielsen Book Data)

This unique professional volume is about the recent advances in the lattice Boltzmann method (LBM). It introduces a new methodology, namely the simplified and highly stable lattice Boltzmann method (SHSLBM), for constructing numerical schemes within the lattice Boltzmann framework. Through rigorous mathematical derivations and abundant numerical validations, the SHSLBM is found to outperform the conventional LBM in terms of memory cost, boundary treatment and numerical stability. This must-have title provides every necessary detail of the SHSLBM and sample codes for implementation. It is a useful handbook for scholars, researchers, professionals and students who are keen to learn, employ and further develop this novel numerical method.
(source: Nielsen Book Data)

• Brian Spalding: Some Contributions to Computational Fluid Dynamics during the Period 1993 to 2004.- The SUPER Numerical Scheme for the discretization of the convection terms in Computational Fluid Dynamics computations.- Examples of Decompositions for Time and Space Domains and Discretization of Equations for General Purpose Computational Fluid Dynamics Programs and Historical Perspective of Some Key Developments.- A Finite Volume Procedure for Thermofluid System Analysis in a Flow Network.- Modeling Proton Exchange Membrane Fuel Cells - A Review.- CFD Modeling of Data Centers.- Integral Transform Benchmarks of Diffusion, Convection-Diffusion, and Conjugated Problems in Complex Domains.- A Comparison between FEM and FVM via the Method of Weighted Residuals.
• (source: Nielsen Book Data)

Prof. D. Brian Spalding, working with a small group of students and colleagues at Imperial College, London in the mid-to late-1960's, single-handedly pioneered the use of Computational Fluid Dynamics (CFD) for engineering practice. This book brings together advances in computational fluid dynamics in a collection of chapters authored by leading researchers, many of them students or associates of Prof. Spalding. The book intends to capture the key developments in specific fields of activity that have been transformed by application of CFD in the last 50 years. The focus is on review of the impact of CFD on these selected fields and of the novel applications that CFD has made possible. Some of the chapters trace the history of developments in a specific field and the role played by Spalding and his contributions. The volume also includes a biographical summary of Brian Spalding as a person and as a scientist, as well as tributes to Brian Spalding by those whose life was impacted by his innovations. This volume would be of special interest to researchers, practicing engineers, and graduate students in various fields, including aerospace, energy, power and propulsion, transportation, combustion, management of the environment, health and pharmaceutical sciences. .
(source: Nielsen Book Data)

• Introduce CFD
• Model Real Problems
• Select Equations to Be Solved
• Select Turbulence Modeling Method
• Select Numerical Methods
• Specify Boundary Conditions
• Generate Grid
• Solve Case
• Analyze Results
• Write CFD Report.

This book introduces readers to the fundamentals of simulating and analyzing built and natural environments using the Computational Fluid Dynamics (CFD) method. CFD offers a powerful tool for dealing with various scientific and engineering problems and is widely used in diverse industries. This book focuses on the most important aspects of applying CFD to the study of urban, buildings, and indoor and outdoor environments. Following the logical procedure used to prepare a CFD simulation, the book covers e.g. the governing equations, boundary conditions, numerical methods, modeling of different fluid flows, and various turbulence models. Furthermore, it demonstrates how CFD can be applied to solve a range of engineering problems, providing detailed hands-on exercises on air and water flow, heat transfer, and pollution dispersion problems that typically arise in the study of buildings and environments. The book also includes practical guidance on analyzing and reporting CFD results, as well as writing CFD reports/papers.

• Basic Concepts of Fluid Flow.- Introduction to Numerical Methods.- Finite Difference Methods.- Finite Volume Methods.- Solution of Linear Equation Systems.-Methods for Unsteady Problems.- Solution of the Navier-Stokes Equations.- Complex Geometries.- Turbulent Flows.- Compressible Flows.- Efficiency, Accuracy and Grid Quality.- Special Topics.
• (source: Nielsen Book Data)

This book is a guide to numerical methods for solving fluid dynamics problems. The most widely used discretization and solution methods, which are also found in most commercial CFD-programs, are described in detail. Some advanced topics, like moving grids, simulation of turbulence, computation of free-surface flows, multigrid methods and parallel computing, are also covered. Since CFD is a very broad field, we provide fundamental methods and ideas, with some illustrative examples, upon which more advanced techniques are built. Numerical accuracy and estimation of errors are important aspects and are discussed in many examples. Computer codes that include many of the methods described in the book can be obtained online. This 4th edition includes major revision of all chapters; some new methods are described and references to more recent publications with new approaches are included. Former Chapter 7 on solution of the Navier-Stokes equations has been split into two Chapters to allow for a more detailed description of several variants of the Fractional Step Method and a comparison with SIMPLE-like approaches. In Chapters 7 to 13, most examples have been replaced or recomputed, and hints regarding practical applications are made. Several new sections have been added, to cover, e.g., immersed-boundary methods, overset grids methods, fluid-structure interaction and conjugate heat transfer.
(source: Nielsen Book Data)

• Part I. A first problem: 1. The driven cavity
• 2. Streamfunction-vorticity formulation
• 3. Primitive variable formulation
• Part II. Generalities: 4. Finite differences
• 5. Finite elements
• 6.Spectral methods
• 7. Time integration
• 8. Linear Algebra
• Part III. Special topics: 9. Software packages and FreeFem++
• 10. Hyperbolic equations
• 11. Representation of surfaces
• 12. Boundary integral method
• 13. Fast Poisson solvers
• 14. Fast Multipole Method
• 15. Nonlinear considerations
• 16. Particle methods
• 17. Wavelets
• Index.
• (source: Nielsen Book Data)

Every fluid dynamicist will at some point need to use computation. Thinking about the physics, constraints and the requirements early on will be rewarded with benefits in time, effort, accuracy and expense. How these benefits can be realised is illustrated in this guide for would-be researchers and beginning graduate students to some of the standard methods and common pitfalls of computational fluid mechanics. Based on a lecture course that the author has developed over twenty years, the text is split into three parts. The quick introduction enables students to solve numerically a basic nonlinear problem by a simple method in just three hours. The follow-up part expands on all the key essentials, including discretisation (finite differences, finite elements and spectral methods), time-stepping and linear algebra. The final part is a selection of optional advanced topics, including hyperbolic equations, the representation of surfaces, the boundary integral method, the multigrid method, domain decomposition, the fast multipole method, particle methods and wavelets.
(source: Nielsen Book Data)

• Introduction CFD Solution Procedure - A Beginning Governing Equations for CFD - Fundamentals CFD Mesh Generation - A Practical Guideline (new) CFD Techniques - The Basics CFD Solution Analysis - Essentials Practical Guidelines for CFD Simulation and Analysis Some Applications of CFD with Examples Some Advanced Topics in CFD Cased Studies and Latest Developments on Applications of CFD (new online bonus chapter).
• (source: Nielsen Book Data)

Computational Fluid Dynamics: A Practical Approach, Third Edition, is an introduction to CFD fundamentals and commercial CFD software to solve engineering problems. The book is designed for a wide variety of engineering students new to CFD, and for practicing engineers learning CFD for the first time. Combining an appropriate level of mathematical background, worked examples, computer screen shots, and step-by-step processes, this book walks the reader through modeling and computing, as well as interpreting CFD results. This new edition has been updated throughout, with new content and improved figures, examples and problems.
(source: Nielsen Book Data)

• 1. Introduction
• 2. Basics of CFD
• 3. Airflow modeling
• 4. Atomization and particle tracking
• 5. Droplet drying and quality modeling
• 6. Agglomeration and wall deposition modeling
• 7. Simulation validation techniques
• 8. Common challenges for industrial applications

• Direct Modeling for Computational Fluid Dynamics
• Macroscopic Gas Dynamic Equations
• Equilibrium State
• Boltzmann Equations
• Kinetic Model Equations
• Gas-Kinetic Scheme, Unified Gas-Kinetic Schemes
• Non-Equilibrium Flow
• Shock Capturing Schemes
• Microflows
• Hypersonic Rarefied Flows
• Diatomic Gases
• Dissipative Mechanism
• Godunov Method--.
• (source: Nielsen Book Data)

Computational fluid dynamics (CFD) studies the flow motion in a discretized space. Its basic scale resolved is the mesh size and time step. The CFD algorithm can be constructed through a direct modeling of flow motion in such a space. This book presents the principle of direct modeling for the CFD algorithm development, and the construction unified gas-kinetic scheme (UGKS). The UGKS accurately captures the gas evolution from rarefied to continuum flows. Numerically it provides a continuous spectrum of governing equation in the whole flow regimes.
(source: Nielsen Book Data)

• 1. Performance Evaluation of Hybrid Earth Pipe Cooling with Horizontal Piping System
• 2. Thermal Efficiency Modeling in a Subtropical Data Center
• 3. Natural Convection Heat Transfer in the Partitioned Attic Space
• 4. Application of Nanofluid in Heat Exchangers for Energy Savings
• 5. Effects of Perforation Geometry on the Heat Transfer Performance of Extended Surfaces
• 6. Numerical Study of Flow Through a Reducer for Scale Growth Suppression
• 7. Parametric Analysis of Thermal Comfort and Energy Efficiency in Building in Subtropical Climate
• 8. Residential Building Wall Systems: Energy Efficiency and Carbon Footprint
• 9. Cement Kiln Process Modeling to Achieve Energy Efficiency by Utilizing Agricultural Biomass as Alternative Fuels
• 10. Modeling and Simulation of Heat and Mass Flow by ASPEN HYSYS for Petroleum Refining Process in Field Application
• 11. Modeling of Solid and Bio-Fuel Combustion Technologies
• 12. Ambient Temperature Rise Consequences for Power Generation in Australia.
• (source: Nielsen Book Data)

Thermofluid Modeling for Sustainable Energy Applications provides a collection of the most recent, cutting-edge developments in the application of fluid mechanics modeling to energy systems and energy efficient technology. Each chapter introduces relevant theories alongside detailed, real-life case studies that demonstrate the value of thermofluid modeling and simulation as an integral part of the engineering process. Research problems and modeling solutions across a range of energy efficiency scenarios are presented by experts, helping users build a sustainable engineering knowledge base. The text offers novel examples of the use of computation fluid dynamics in relation to hot topics, including passive air cooling and thermal storage. It is a valuable resource for academics, engineers, and students undertaking research in thermal engineering.
(source: Nielsen Book Data)

• Introduction.- Background.- Overview and Roadmap.- Fundamentals.- Model Equations.- Finite-Difference Methods.- The Semi-Discrete Approach.- Finite-Volume Methods.- Numerical Dissipation and Upwind Schemes.- Time-Marching Methods for ODEs.- Stability Analysis.- Governing Equations.- The Euler and Navier-Stokes Equations.- The Reynolds-Averaged Navier-Stokes Equations.- The Quasi-One-Dimensional Euler Equations and the Shock-Tube Problem.- Exercises An Implicit Finite-Difference Algorithm.- Introduction.- Generalized Curvilinear Coordinate Transformation.- Thin-Layer Approximation.- Spatial Differencing.- Implicit Time Marching and the Approximate Factorization Algorithm.- Boundary Conditions.- Three-Dimensional Algorithm.- One-Dimensional Examples.- Summary.- Appendix: Flux Jacobian Eigensystems in Two and Three Dimensions.- An Explicit Finite-Volume Algorithm with Multigrid.- Introduction.- Spatial Discretization: Cell-Centered Finite-Volume Method.- Iteration to Steady State.- One-Dimensional Examples.- Summary.- Exercises.- Introduction to High-Resolution Upwind Schemes.- Introduction.- Godunov's Method.- Roe's Approximate Riemann Solver.- Higher-Order Reconstruction.- Conservation Laws and Total Variation.- Monotone and Monotonicity-Preserving Schemes.- Total-Variation-Diminishing Conditions.- Total-Variation-Diminishing Schemes with Limiters.- One-Dimensional Examples.- Summary.- Exercises.- References.- Index.
• (source: Nielsen Book Data)

Intended as a textbook for courses in computational fluid dynamics at the senior undergraduate or graduate level, this book is a follow-up to the book Fundamentals of Computational Fluid Dynamics by the same authors, which was published in the series Scientific Computation in 2001. Whereas the earlier book concentrated on the analysis of numerical methods applied to model equations, this new book concentrates on algorithms for the numerical solution of the Euler and Navier-Stokes equations. It focuses on some classical algorithms as well as the underlying ideas based on the latest methods. A key feature of the book is the inclusion of programming exercises at the end of each chapter based on the numerical solution of the quasi-one-dimensional Euler equations and the shock-tube problem. These exercises can be included in the context of a typical course and sample solutions are provided in each chapter, so readers can confirm that they have coded the algorithms correctly.
(source: Nielsen Book Data)

• Unstructured Grids and Adaptive Finite Element Methods: Simulating Steady State and Transient Aerodynamics Flows Using Unstructured Meshes and Parallel Computers (B J Evans et al.)
• Numerical Simulation of Fluid Movement in an Hourglass by an Energy-Stable Finite Element Scheme (M Tabata)
• Adaptive Finite Element Discretization of Flow Problems for Goal-Oriented Model Reduction (R Rannacher)
• High-Order Efficient Schemes: Recovery Discontinuous Galerkin Jacobi-Free Newton-Krylov Method for Multi physics Problems (R Nourgaliev et al.)
• A Numerical Diffusion Flux for Finite Volume and Discontinuous Galerkin Schemes Based on the Diffusive Riemann Problem (G Gassner et al.)
• A BGK-Based Discontinuous Galerkin Method for the Navier-Stokes Equations on Arbitrary Grids (H Luo et al.)
• Construction of High Order Residual Distribution Schemes (R Abgrall et al.)
• Recent Development in High-Order-Accurate Fluctuation Splitting Schemes (C Rossiello et al.)
• Implicit Implementation of Variant WENO Schemes for Compressible Flow Computations (J Y Yang et al.)
• The Development of the Characteristic-Wise Hybrid Compact-WENO Scheme for Solving the Euler and Navier-Stokes Equations (Z Sun & Y Ren)
• Multi-dimensional Limiting Process for Flow Physics Analysis on Structured and Unstructured Grids (C Kim)
• Simulations of Turbulent Flows and Orthogonal Decomposition Method: Coping with Uncertainity in Turbulent Flow Simulations (P Sagaut)
• Numerical Investigation and Proper Orthogonal Decomposition of Forced Convective Heat Transfer from Staggered Circular Cylinders (S Tomkratoke et al.)
• Chemically Reacting Flows: Efficient Parallel Fully Coupled Solver for Multi-component Turbulent Reacting Flows (T Belmrabet et al.)
• Time Accurate Computational Analysis of Ignition Overpressure in the Flame Trench (C Kiris et al.)
• Aero-acoustics: Aeroacoustics Investigation of Woodwind Instruments Based on Discontinuous Galerkin Methods (A Richter et al.)
• Recent Efforts in Rocket Plume Acoustics (T Nonomura & K Fujii)
• Optimization Techniques: Challenges in Aerodynamic Optimization (E Arian & A Iollo)
• Robust Multidisciplinary Design Optimization Using CFD and Advanced Evolutionary Algorithms (D S Lee et al.)
• Special Topics: Forty Years of CFD in Japan - Personal Overview (N Satofuka)
• Computational Magneto-Fluid-Dynamics of Flow Control (J Shang)
• Aerodynamic Surfaces Admitting Jumps of the Lift Coefficient in Transonic Flight (A Kuz'min)
• A Level-Set Method for Three Dimensional Bi-fluid Flows Evolving in Square Micro Channels (C Bruneau et al.)
• Micro and Macro Scale Technique for Particle Growth Simulations (A Markov)
• Adaptive Wavelet Method for Euler Equations Solution Algorithim (H Kang et al.).
• (source: Nielsen Book Data)

This volume contains 25 review articles by experts which provide up-to-date information about the recent progress in computational fluid dynamics (CFD). Due to the multidisciplinary nature of CFD, it is difficult to keep up with all the important developments in related areas. CFD Review 2010 would therefore be useful to researchers by covering the state-of-the-art in this fast-developing field.
(source: Nielsen Book Data)