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Parallel-in-Time for Parabolic Optimal Control Problems Using PFASST

  • In gradient-based methods for parabolic optimal control problems, it is necessary to solve both the state equation and a backward-in-time adjoint equation in each iteration of the optimization method. In order to facilitate fully parallel gradient-type and nonlinear conjugate gradient methods for the solution of such optimal control problems, we discuss the application of the parallel-in-time method PFASST to adjoint gradient computation. In addition to enabling time parallelism, PFASST provides high flexibility for handling nonlinear equations, as well as potential extra computational savings from reusing previous solutions in the optimization loop. The approach is demonstrated here for a model reaction-diffusion optimal control problem.
Author:Sebastian GötschelORCiD, Michael L. Minion
Document Type:In Collection
Parent Title (English):Domain Decomposition Methods in Science and Engineering XXIV
First Page:363
Last Page:371
Place of publication:Cham
Year of first publication:2018
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