Anthony Jameson is widely known as a founder of computational fluid dynamics. Professor Jameson is currently the Jack E. & Frances Brown Chair in Engineering I, and Professor of Aerospace Engineering and Ocean Engineering at Texas A&M University.

'This is a clear, detailed, and thorough treatment of a complex subject. Professor Jameson masterfully weaves together the ingredients needed for the simulation of aerodynamic flows, starting from a mathematical understanding of the model equations and presenting the numerical methods with detail and rigor. It is a deeply enjoyable book that will be valuable to those in the Computational Aerodynamics community as well as many other computational scientists.' Sigal Gottlieb, University of Massachusetts Dartmouth

• Preface; Acknowledgements; 1. Introduction and background; 2. Mathematical models of fluid flow; 3. Numerical methods for the solution of partial differential equations; 4. Fundamental Stability Theory; 5. Shock capturing schemes I; 6. Shock capturing schemes II; 7. Discretization schemes for flows in complex domains; 8. The calculation of viscous flow; 9. Overview of time integration methods; 10. Steady state problems; 11. Time accurate methods for unsteady flow; 12. Energy stability for nonlinear problems; 13. High-order methods for structured meshes; 14. High-order methods for unstructured meshes; 15. Aerodynamic shape optimization; Appendix A; Appendix B; Appendix C; Appendix D; Appendix E; Appendix F; References; Index.

Anthony Jameson is widely known as a founder of computational fluid dynamics. Professor Jameson is currently the Jack E. & Frances Brown Chair in Engineering I, and Professor of Aerospace Engineering and Ocean Engineering at Texas A&M University.

'This is a clear, detailed, and thorough treatment of a complex subject. Professor Jameson masterfully weaves together the ingredients needed for the simulation of aerodynamic flows, starting from a mathematical understanding of the model equations and presenting the numerical methods with detail and rigor. It is a deeply enjoyable book that will be valuable to those in the Computational Aerodynamics community as well as many other computational scientists.' Sigal Gottlieb, University of Massachusetts Dartmouth

• Preface; Acknowledgements; 1. Introduction and background; 2. Mathematical models of fluid flow; 3. Numerical methods for the solution of partial differential equations; 4. Fundamental Stability Theory; 5. Shock capturing schemes I; 6. Shock capturing schemes II; 7. Discretization schemes for flows in complex domains; 8. The calculation of viscous flow; 9. Overview of time integration methods; 10. Steady state problems; 11. Time accurate methods for unsteady flow; 12. Energy stability for nonlinear problems; 13. High-order methods for structured meshes; 14. High-order methods for unstructured meshes; 15. Aerodynamic shape optimization; Appendix A; Appendix B; Appendix C; Appendix D; Appendix E; Appendix F; References; Index.

Anthony Jameson is widely known as a founder of computational fluid dynamics. Professor Jameson is currently the Jack E. & Frances Brown Chair in Engineering I, and Professor of Aerospace Engineering and Ocean Engineering at Texas A&M University.

'This is a clear, detailed, and thorough treatment of a complex subject. Professor Jameson masterfully weaves together the ingredients needed for the simulation of aerodynamic flows, starting from a mathematical understanding of the model equations and presenting the numerical methods with detail and rigor. It is a deeply enjoyable book that will be valuable to those in the Computational Aerodynamics community as well as many other computational scientists.' Sigal Gottlieb, University of Massachusetts Dartmouth

• Preface; Acknowledgements; 1. Introduction and background; 2. Mathematical models of fluid flow; 3. Numerical methods for the solution of partial differential equations; 4. Fundamental Stability Theory; 5. Shock capturing schemes I; 6. Shock capturing schemes II; 7. Discretization schemes for flows in complex domains; 8. The calculation of viscous flow; 9. Overview of time integration methods; 10. Steady state problems; 11. Time accurate methods for unsteady flow; 12. Energy stability for nonlinear problems; 13. High-order methods for structured meshes; 14. High-order methods for unstructured meshes; 15. Aerodynamic shape optimization; Appendix A; Appendix B; Appendix C; Appendix D; Appendix E; Appendix F; References; Index.