2017
DOI: 10.1016/j.micpro.2016.12.004
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Worst-case performance analysis of SDF-based parameterized dataflow

Abstract: DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal… Show more

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Cited by 2 publications
(1 citation statement)
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References 49 publications
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“…If the strength of a plate is a random variable, we may consider the problems as a stochastic programming problem. Many models of stochastic programming have been proposed such as approximate polyhedral dynamic programming [25]- [27], nominal solutions [28], measurementbased optimization [29], [30], worst-case and distributional robustness analysis [31]- [33], robust optimization [34], recourse programming [35]- [37] and chance constrained optimization (CCOPT) [38], [39]. In this paper the CCOPT approach is used to treat the problem of shakedown analysis of plate under uncertainty condition of strength.…”
Section: Introductionmentioning
confidence: 99%
“…If the strength of a plate is a random variable, we may consider the problems as a stochastic programming problem. Many models of stochastic programming have been proposed such as approximate polyhedral dynamic programming [25]- [27], nominal solutions [28], measurementbased optimization [29], [30], worst-case and distributional robustness analysis [31]- [33], robust optimization [34], recourse programming [35]- [37] and chance constrained optimization (CCOPT) [38], [39]. In this paper the CCOPT approach is used to treat the problem of shakedown analysis of plate under uncertainty condition of strength.…”
Section: Introductionmentioning
confidence: 99%