Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Martin P. Neuenhofen"'
Autor:
Martin P. Neuenhofen, Eric C. Kerrigan
We present a numerical method for the minimization of constrained optimization problems where the objective is augmented with large quadratic penalties of inconsistent equality constraints. Such objectives arise from quadratic integral penalty method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90ac8ddd2142d1dae418a88c6dbcba3a
http://hdl.handle.net/10044/1/98243
http://hdl.handle.net/10044/1/98243
Autor:
Martin P. Neuenhofen, Eric C. Kerrigan
Publikováno v:
59th IEEE Conference on Decision and Control 2020
CDC
CDC
Some direct transcription methods can fail to converge, e.g. when there are singular arcs. We recently introduced a convergent direct transcription method for optimal control problems, called the penalty-barrier finite element method (PBF). PBF conve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76bde3c24abc2c34356adef2955b0c8e
http://arxiv.org/abs/2009.06217
http://arxiv.org/abs/2009.06217
Autor:
Martin P. Neuenhofen, Eric C. Kerrigan
Publikováno v:
IEEE Conference on Decision and Control
CDC
CDC
We present a numerical method for the minimization of objectives that are augmented with large quadratic penalties of overdetermined inconsistent equality constraints. Such objectives arise from quadratic integral penalty methods for the direct trans
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a05bef7fefc99c22488a3fcdb1ba975d
http://arxiv.org/abs/2009.06222
http://arxiv.org/abs/2009.06222
Autor:
Chen Greif, Martin P. Neuenhofen
Publikováno v:
SIAM Journal on Scientific Computing. 40:B554-B571
We introduce $\mathcal{M}$stab, a Krylov subspace recycling method for the iterative solution of sequences of linear systems, where the system matrix is fixed and is large, sparse, and nonsymmetric, and the right-hand-side vectors are available in se