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pro vyhledávání: '"sequential linear programming."'
This paper proposes an almost feasible Sequential Linear Programming (afSLP) algorithm. In the first part, the practical limitations of previously proposed Feasible Sequential Linear Programming (FSLP) methods are discussed along with illustrative ex
Externí odkaz:
http://arxiv.org/abs/2401.13840
This paper proposes an accelerated version of Feasible Sequential Linear Programming (FSLP): the AA($d$)-FSLP algorithm. FSLP preserves feasibility in all intermediate iterates by means of an iterative update strategy which is based on repeated evalu
Externí odkaz:
http://arxiv.org/abs/2212.02718
In this article, an efficient sequential linear programming algorithm (SLP) for uncertainty analysis-based data-driven computational mechanics (UA-DDCM) is presented. By assuming that the uncertain constitutive relationship embedded behind the prescr
Externí odkaz:
http://arxiv.org/abs/2211.04109
Akademický článek
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Autor:
Kiessling, David, Zanelli, Andrea, Nurkanović, Armin, Gillis, Joris, Diehl, Moritz, Zeilinger, Melanie, Pipeleers, Goele, Swevers, Jan
In this paper, we propose a Feasible Sequential Linear Programming (FSLP) algorithm applied to time-optimal control problems (TOCP) obtained through direct multiple shooting discretization. This method is motivated by TOCP with nonlinear constraints
Externí odkaz:
http://arxiv.org/abs/2205.00754
Autor:
Grothey, Andreas1 (AUTHOR) A.Grothey@ed.ac.uk, McKinnon, Ken1 (AUTHOR)
Publikováno v:
Annals of Operations Research. Mar2023, Vol. 322 Issue 2, p691-711. 21p.
Despite major advancements in nonlinear programming (NLP) and convex relaxations, most system operators around the world still predominantly use some form of linear programming (LP) approximation of the AC power flow equations. This is largely due to
Externí odkaz:
http://arxiv.org/abs/2107.05164
Autor:
Kiessling, David *, Pas, Pieter, Astudillo, Alejandro *, Patrinos, Panagiotis, Swevers, Jan *
Publikováno v:
In IFAC PapersOnLine 2023 56(2):7436-7441
Autor:
Grothey, Andreas, McKinnon, Ken
The aim of this paper is to compare the performance of a local solution technique -- namely Sequential Linear Programming (SLP) employing random starting points -- with state-of-the-art global solvers such as Baron and more sophisticated local solver
Externí odkaz:
http://arxiv.org/abs/2002.10899
Publikováno v:
In Applied Mathematical Modelling July 2022 107:256-274