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Publisher Summary Large-scale computational simulations of physical systems have become a valuable adjunct to theoretical and experimental research efforts in the physical and chemical sciences. They are essential because the computer allows solution of problems not soluble by other methods. The use of detailed modeling in conjunction with theory and experiment has reduced the cost and increased the effectiveness and predictability of research project management. This chapter discusses a number of the decisions that a modeler must make to optimize his efforts on a reactive flow simulation project. It explains the choices that are available from the perspectives of program efficiency, flexibility, reliability, accuracy, and lead time to results. The chapter focuses on the vectorized computation of reactive flows. There are five uses for modeling in research and development programs in general, and in the reactive flow modeling in particular. These uses are (1) to evaluate concepts, (2) to interpret measurements, (3) to extrapolate parameters, (4) to calibrate understanding, and (5) in engineering design. |
