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
Chapter number
7
Pagination
209-248
ISSN
1384-6485
ISBN-13
9780387267692
ISBN-10
0387267697
Language
eng
Notes
The original publication is available at www.springerlink.com