DocumentCode :
3026163
Title :
One-dimensional mean value methods in iterations
Author :
Meyer, G.G.L. ; Raup, R.C.
Author_Institution :
The Johns Hopkins University, Baltimore, Maryland
fYear :
1979
fDate :
10-12 Jan. 1979
Firstpage :
907
Lastpage :
907
Abstract :
A widely used approach for solving problems consists of recasting them as fixed point problems and then using one-dimensional mean value iterative methods. Such methods are therefore of more than passing interest and deserve to be studied for themselves. The representative member of a class of one-dimensional mean value iterative methods, i.e., its representative algorithm schema, uses a convex and closed subset T of En, a continuous map a(??) from T into T and an infinite sequence of scalars {??i} with ??i in [0;1] for all i.
Keywords :
Algorithm design and analysis; Approximation methods; Automatic control; Clustering algorithms; Differential equations; Iterative algorithms; Iterative methods; Laboratories; Optimization methods; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control including the 17th Symposium on Adaptive Processes, 1978 IEEE Conference on
Conference_Location :
San Diego, CA, USA
Type :
conf
DOI :
10.1109/CDC.1978.268060
Filename :
4046247
Link To Document :
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