Titlebook: Advancing Parametric Optimization; On Multiparametric L Nathan Adelgren Book 2021 The Editor(s) (if applicable) and The Author(s), under ex

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書目名稱Advancing Parametric Optimization影響因子(影響力)




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Occupation

Further Considerations,specify the methods we employ in order to properly manage these difficulties. We offer examples of instances of the multiparametric Linear Complementarity Problem that motivate the assumptions we presented in the introductory chapter of this work. Additionally, we consider the uniqueness of partitio

graphy

LITHE

Phase 2: Partitioning the Parameter Space,gions in this partition can be derived from a single full dimensional invariancy region returned from phase one of our method. We note that this discussion precedes that of phase one due to the fact that phase one can be viewed as a special case of phase two.

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Advancing Parametric Optimization978-3-030-61821-6Series ISSN 2190-8354 Series E-ISSN 2191-575X

財產(chǎn)

Pierre-Antoine Bois,Agnés Kubickigions in this partition can be derived from a single full dimensional invariancy region returned from phase one of our method. We note that this discussion precedes that of phase one due to the fact that phase one can be viewed as a special case of phase two.

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https://doi.org/10.1007/978-3-030-61821-6multiparametric programming; multiparametric linear programming; multiparametric quadratic programming

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https://doi.org/10.1007/978-3-030-43989-7ncy region can be determined by first decomposing the invariancy regions into two specific subsets and then exploiting the structure of these subsets. The culminating theoretical result in this chapter shows that, given a full dimensional invariancy region, all adjacent regions can be computed by co