Show simple item record

dc.contributor.authorCHEBBAH, MOHAMMED
dc.contributor.authorOuanes, Mohand
dc.contributor.authorZidna, Ahmed
dc.date.accessioned2020-07-20T11:21:17Z
dc.date.available2020-07-20T11:21:17Z
dc.date.issued2019-08-25
dc.identifier.urihttps://dl.ummto.dz/handle/ummto/11431
dc.description2nd International Conference on Mathematical Modelling in Applied Sciences, ICMMAS19, ICMMAS'2019, Belgorod Russia, 20-24 august 2019en
dc.description.abstractUnivariate global optimization problems attract attention of researchers.Several methods [23] have been studied in the literature for univariate global optimization problems . Optimization in R presents the same difficulty as in Rn. Many algorithms are directed in this direction. For cutting methods in Global optimization or Optimsation gradient method in general . In this work, we propose to improve: The article submitted: ( Simulations for efficient combination of two lower bound functions in univariate global optimization. AIP Conference Proceedings 1863, 250004 (2017) ; https ://doi.org/10.1063/1.4992412, (2017). ) In this context too, we will accelerate the speed of the Algorithm for better complexity with technics (CSP, Arithmetic analysis and Interval and another). It should be noted that, we have made conclusive simulations in this directionen
dc.language.isoenen
dc.subjectGlobal optimization, BB method, quadratic lower bound function, Branch and Bound, pruning methoden
dc.titleSimulation Improvements (analysis, CSP, Arithmetic analysis and Interval) for efficient combination of two lower bound functions in univariate global optimizationen
dc.typeWorking Paperen


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record