A convergent variant of the Nelder-Mead algorithm

dc.contributor.authorPrice, Christopher John
dc.contributor.authorByatt, David
dc.contributor.authorCoope, Ian D.
dc.date.accessioned2016-01-26T00:19:47Z
dc.date.available2016-01-26T00:19:47Z
dc.date.issued2001en
dc.description.abstractThe Nelder-Mead algorithm (1965) for unconstrained optimization has been used extensively to solve parameter estimation (and other) problems. Despite its age it is still the method of choice for many practitioners in the fields of statistics, engineering, and the physical and medical sciences because it is easy to code and very easy to use. It belongs to a class of methods which do not require derivatives and which are often claimed to be robust for problems with discontinuities or where the function values are noisy. Recently (1998) it has been shown that the method can fail to converge or converge to non-solutions on certain classes of problems. Only very limited convergence results exist for a restricted class of problems in one or two dimensions. In this paper, a provably convergent variant of the Nelder-Mead simplex method is presented and analysed. Numerical results are included to show that the modified algorithm is effective in practice.en
dc.identifier.issn1172-8531
dc.identifier.urihttp://hdl.handle.net/10092/11716
dc.language.isoen
dc.publisherUniversity of Canterburyen
dc.rightsAll Rights Reserveden
dc.rights.urihttps://canterbury.libguides.com/rights/theses
dc.subjectderivative free optimizationen
dc.subjectpositive basis methodsen
dc.subjectsimplexen
dc.subjectpolytopeen
dc.subjectframe based methodsen
dc.subject.anzsrcField of Research::01 - Mathematical Sciencesen
dc.titleA convergent variant of the Nelder-Mead algorithmen
dc.typeDiscussion / Working Papers
uc.collegeFaculty of Engineering
uc.departmentSchool of Engineeringen
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