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Avtomatika i Telemekhanika, 1981, Issue 11, Pages 90–95 (Mi at6046)  
Adaptive Systems

Algorithms of search for the extremum of a function distorted by random noise by the method of least squares and splines

V. G. Nikitenko

Moscow
Full-text PDF (944 kB)
Abstract: The paper is concerned with two modifications of the Keefer – Wolfowitz procedure for finding the extremum point of a regression function wheregy the derivative is estimated by the method of least squares and cubic splines. The results of computer modeling a minimization problem by these two modifications and by a conventional procedure are compared.

Received: 14.07.1980
Bibliographic databases:
Document Type: Article
UDC: 62-506.1
Language: Russian
Citation: V. G. Nikitenko, “Algorithms of search for the extremum of a function distorted by random noise by the method of least squares and splines”, Avtomat. i Telemekh., 1981, no. 11, 90–95; Autom. Remote Control, 42:11 (1981), 1503–1507
Citation in format AMSBIB
\Bibitem{Nik81}
\by V.~G.~Nikitenko
\paper Algorithms of search for the extremum of a function distorted by random noise by the method of least squares and splines
\jour Avtomat. i Telemekh.
\yr 1981
\issue 11
\pages 90--95
\mathnet{http://mi.mathnet.ru/at6046}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=705362}
\zmath{https://zbmath.org/?q=an:0489.93069}
\transl
\jour Autom. Remote Control
\yr 1981
\vol 42
\issue 11
\pages 1503--1507
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