Simultaneous solution approaches for large optimization problems
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摘要
In this paper, efficient simultaneous strategies are presented for the optimization of practical problems involving PDE-models. In particular, reduced sequential quadratic programming methods for problems with only few influence variables and simultaneous quadratic programming iterations are discussed. As a result we obtain algorithms whose overall computational complexity is reduced considerably in comparison to a black-box approach.
论文关键词：Partially reduced SQP methods,Iterative QP solvers,Bingham flow,Topology design
论文评审过程：Received 20 August 2002, Revised 11 July 2003, Available online 4 December 2003.
论文官网地址：https://doi.org/10.1016/j.cam.2003.09.011
