Minimax Differentiability via the Averaged Adjoint for Control/Shape Sensitivity*
作者： Michel C. Delfour , Kevin Sturm
DOI: 10.1016/J.IFACOL.2016.07.436
关键词:
摘要: Abstract A standard approach to the minimization of a state constrained objective function in Control/Shape Optimization problems is consider minimax associated Lagrangian. In this paper, construction used obtain semidifferential (sensitivity analysis) with respect control/shape variable function. By using new notion averaged adjoint Sturm (2014, 2015), problem need not be related saddle point: non-convex functions and non-linear equations can directly considered. We firstly provide version condition secondly an extension from single valued case where solutions state/averaged are unique which non-differentiability occur.
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