Flow control and optimization has been an important part of experimental flow science throughout the last century. As research in computational fluid dynamics (CFD) matured, CFD codes were routinely used for the simulation of fluid flows. Subsequently, mathematicians and engineers began examining the use of CFD algorithms and codes for optimization and control problems for fluid flows. The marriage of mature CFD methodologies with state-of-the-art optimization methods has become the center of activity in computational flow control and optimization. Perspectives in Flow Control and Optimization presents flow control and optimization as a subdiscipline of computational mathematics and computational engineering. It introduces the development and analysis of several approaches for solving flow control and optimization problems through the use of modern CFD and optimization methods.
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Three examples give clear demonstration on sensitive- and adjoint-based optimization derivations.
评分Three examples give clear demonstration on sensitive- and adjoint-based optimization derivations.
评分Three examples give clear demonstration on sensitive- and adjoint-based optimization derivations.
评分Three examples give clear demonstration on sensitive- and adjoint-based optimization derivations.
评分Three examples give clear demonstration on sensitive- and adjoint-based optimization derivations.
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