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The Solve-and-Robustify approach consists of a two step procedure where fixed-time solutions built in the first step are used to obtain partial order schedules in the second step.
Oct 29, 2008 · Solve-and-robustify. Synthesizing partial order schedules by chaining. Published: 29 October 2008. Volume 12, pages 299–314, (2009); Cite this ...
On the one hand, the paper focuses on specific heuristic algorithms for synthesis of POSs, starting from a pre-existing schedule (hence the name Solve-and- ...
In previous work, we have defined a two-step procedure called Solve-and-Robustify for generating flexible, partial order schedules.
PDF | Goal separation is often a fruitful approach when solving complex problems. It provides a way to focus on relevant aspects in a stepwise fashion.
In previous work, we have defined a two-step procedure called Solve-and-Robustify for generating flexible, partial order schedules.
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Robust optimization is a field of mathematical optimization theory that deals with optimization problems in which a certain measure of robustness is sought ...
Feb 21, 2022 · A robust solution stays, to some extent, feasible — and does not critically deteriorate — against variations of your input data.
Jun 9, 2023 · Our framework allows practitioners to specify and solve robust ERM problems with a general class of convex losses, capturing many standard ...
Aug 31, 2016 · Here is a decent answer: it is known in mathematics that solving for root(s) and by same token solving for "root(s) intersection" is a