Please use this identifier to cite or link to this item: https://thuvienso.bvu.edu.vn/handle/TVDHBRVT/15614
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dc.contributor.authorLindahl, Lars-Åke-
dc.date.accessioned2016-12-08T03:10:52Z-
dc.date.available2016-12-08T03:10:52Z-
dc.date.issued2016-
dc.identifier.citation1st editionvi
dc.identifier.isbn9788740313840-
dc.identifier.urihttp://thuvienso.bvu.edu.vn/handle/TVDHBRVT/15614-
dc.description.abstractThis third and final part of Convexity and Optimization discusses some optimization methods which, when carefully implemented, are efficient numerical optimization algorithms. We begin with a very brief general description of descent methods and then proceed to a detailed study of Newton's method. One chapter is devoted to self-concordant functions, and the convergence rate of Newton's method when applied to self-concordant functions is studied. We conclude by studying of the complexity of LP-problems.vi
dc.language.isoenvi
dc.publisherbookboon.comvi
dc.subjectOptimizationvi
dc.subjectTối ưu hóavi
dc.titleDescent and Interior-point Methods: Convexity and Optimization – Part III - eBooks and textbooks from bookboon.comvi
dc.typeBookvi
Appears in Collections:Calculus (bookboon.com)

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