Book by Moin Parviz
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Parviz Moin is the Franklin P. and Caroline M. Johnson Professor of Mechanical Engineering at Stanford University. He received his bachelor's degree in mechanical engineering from the University of Minnesota in 1974 and his master's and PhD degrees in mathematics and mechanical engineering from Stanford in 1978. He held the posts of National Research Council Fellow, Staff Scientist, and Senior Staff Scientist at NASA Ames Research Center. He joined the Stanford faculty in September 1986. He founded the Center for Turbulence Research and the Stanford Institute for Computational and Mathematical Engineering. Currently he is Director of the Center for Turbulence Research and the Department of Energy's Predictive Science Academic Alliance Program at Stanford. He is actively involved in the editorial boards of the Annual Review of Fluid Mechanics, the Journal of Computational Physics, the Physics of Fluids, SIAM Journal of Multi-Scale Modeling and Simulation and the Journal of Flow Turbulence and Combustion. Professor Moin pioneered the use of high fidelity numerical simulations and massively parallel computers for the study of turbulence physics. His distinctions include NASA's Exceptional Scientific Achievement and Outstanding Leadership Medals, the Einstein Professorship of the Chinese Academy of Sciences, the Lawrence Sperry Award of the American Institute of Aeronautics and Astronautics (AIAA), the Fluid Dynamics Prize of the American Physical Society and the Fluid Dynamics Award of AIAA. Professor Moin is a Fellow of the American Physical Society and AIAA. He is a Member of the National Academy of Engineering.
Engineers need hands-on experience in solving complex engineering problems with computers. This text introduces numerical methods and shows how to develop, analyze, and use them. A thorough and practical book, it is intended as a first course in numerical analysis, primarily for new graduate students in engineering and physical science. Along with mastering the fundamentals of numerical methods, students will learn to write their own computer programs using standard numerical methods. They will learn what factors affect accuracy, stability, and convergence, and also not to believe at first glance the numerical output spewed out from a computer. A special feature is the numerous examples and exercises that are included to give students first-hand experience. The material is based on Professor Moin's teachings in numerical analysis and in his own career as a computational physicist/engineer. A thorough solutions manual is availble upon request from the publisher.
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