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Review of applications of the Cutting Angle methods
The theory of abstract convexity provides us with the necessary tools for building accurate one-sided approximations of functions. Cutting angle methods have recently emerged as a tool for global optimization of families of abstract convex functions. Their applicability have been subsequently extended to other problems, such as scattered data interpolation. This paper reviews three different applications of cutting angle methods, namely global optimization, generation of nonuniform random variates and multivatiate interpolation.
History
Title of book
Continuous optimizationSeries
Applied optimization, vol. 99Chapter number
7Pagination
209 - 248Publisher
SpringerPlace of publication
New York, N.Y.ISSN
1384-6485ISBN-13
9780387267692ISBN-10
0387267697Language
engNotes
The original publication is available at www.springerlink.comPublication classification
B1.1 Book chapter; B Book chapterCopyright notice
2005, SpringerExtent
16Editor/Contributor(s)
V Jeyakumar, A RubinovUsage metrics
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