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Function minimisation using the Nelder and Mead simplex method with limited arithmetic precision: the self regenerative simplex

Akitt, J. W.·1977·The Computer Journal

Abstract

The behaviour of a curve fitting program is described which uses the Nelder-Mead simplex method to optimise the fit and which works with limited arithmetic precision. Apparent false minima are shown to be due to the creation of various simplex arrays which are regenerated unchanged by the logic of the process. A simple procedure is suggested for detecting the formation of such arrays and initiating restarting the search for the true minimum.

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Metadata

Authors
Akitt, J. W.
Venue
The Computer Journal
Published
1977-01-01
Volume
20
Issue
1
Pages
84-85
ISSN
  • 0010-4620 (ISSN-L)
  • 1460-2067
OpenAlex
W2145901369
Cited by
163
References
0
FWCI
3.90
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Function minimisation using the Nelder and Mead simplex method with limited arithmetic precision: the self regenerative simplex. https://app.cochat.ai/papers/10.1093/comjnl/20.1.84
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Akitt, J. W. (1977). Function minimisation using the Nelder and Mead simplex method with limited arithmetic precision: the self regenerative simplex. The Computer Journal. https://doi.org/10.1093/comjnl/20.1.84

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.