A workshop held in September 1991 at ICASE brought together leading experts in numerical analysis and in fluid dynamics to assess the state of the art in computational fluid dynamics and to identify relevant promising developments in numerical analysis. The chapters in this volume are based on materials prepared for that workshop.
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Algorithmic Trends in Computational Fluid Dynamics
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Manuel D. Salas is an emeritus scientist at NASA Langley Research Center in Hampton, Virginia. He has degrees in Aeronautics and Astronautics from the Polytechnic Institute of Brooklyn. He began his career at NASA in 1974. While at NASA, he held several technical management positions including head of the Theoretical Aerodynamics Branch, Chief Scientist for Fluid Mechanics, Director of High Performance Computing, and Principal Investigator for the Hypersonic Aerodynamic & Aerothermodynamics Program. He was also director of the Institute for Computer Applications in Science and Engineering (ICASE) from 1996 to 2002. He lives with his wife Andrea in Yorktown, Virginia.
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Inside This Book
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Key Phrases - Statistically Improbable Phrases (SIPs):
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subcell function, incremental unknowns, downstream vertices, downstream vertex, characteristic condition number, subdomain matching, frontal speed, flagged cells, shock wave calculations, ler equations, preconditioning matrices, numerical flux function, discrete conservation, nonsymmetric linear systems, high order schemes, spectral element method, lanczos algorithm, linear elliptic problems, preconditioning matrix, spurious modes, entropy wave, spectral accuracy, structured meshes, advection schemes, upwind methods Key Phrases - Capitalized Phrases (CAPs): (learn more)
Ames Research Center, Moffett Field, New York, University of Michigan, Journal of Computational Physics, Academic Press, University of California, Ann Arbor, Navier Stokes, Langley Research Center, New Haven, University of Houston, Yale University, Detail of Double-Ellipse Mesh, Institute of Technology, Los Angeles, Minnesota Supercomputer, Phil Roe, Pure Appl, Under-Expanded Jet Grid, University of Minnesota, University of Texas, Cambridge University Press, Computing Associates Inc, Gauss Seidel New!
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subcell function, incremental unknowns, downstream vertices, downstream vertex, characteristic condition number, subdomain matching, frontal speed, flagged cells, shock wave calculations, ler equations, preconditioning matrices, numerical flux function, discrete conservation, nonsymmetric linear systems, high order schemes, spectral element method, lanczos algorithm, linear elliptic problems, preconditioning matrix, spurious modes, entropy wave, spectral accuracy, structured meshes, advection schemes, upwind methods Key Phrases - Capitalized Phrases (CAPs): (learn more)
Ames Research Center, Moffett Field, New York, University of Michigan, Journal of Computational Physics, Academic Press, University of California, Ann Arbor, Navier Stokes, Langley Research Center, New Haven, University of Houston, Yale University, Detail of Double-Ellipse Mesh, Institute of Technology, Los Angeles, Minnesota Supercomputer, Phil Roe, Pure Appl, Under-Expanded Jet Grid, University of Minnesota, University of Texas, Cambridge University Press, Computing Associates Inc, Gauss Seidel New!
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Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
Citations (learn more)
This book cites 33
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8
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- Computing Methods in Applied Sciences and Engineering (International Symposium on Computing Methods in Applied Science and Engineering//Proceedings) by Roland Glowinski on page 157, and page 274
- Numerical Analysis (Mathematics) by Lee W. Johnson on page 50, and page 337
- Computing Methods In Applied Sciences by R Glowinski on page 157, and page 274
- Domain Decomposition Methods by Andrea Toselli on page 48, and page 275
- Matrix Computations (Johns Hopkins Studies in Mathematical Sciences)(3rd Edition) by Gene H. Golub on page 105, and page 157
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- Computational Techniques for Complex Transport Phenomena by Wei Shyy in Back Matter (1), and Back Matter (2)
- Innovative Methods for Numerical Solution of Partial Differential Equations by P. L. Roe in Front Matter
- Wavelets: Theory and Applications (Pure and Applied Mathematics: A Wiley Series of Texts, Monographs and Tracts) by A. K. Louis in Back Matter
- Computational Techniques for Fluid Dynamics 2: Specific Techniques for Different Flow Categories (Scientific Computation) by Clive A.J. Fletcher in Back Matter
- Wavelet Analysis: The Scalable Structure of Information by Howard L. Resnikoff in Back Matter
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