Conjugate Direction Algorithms In Numerical Analysis And Optimization

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dc.contributor.authorStein, Ivie J.
dc.creatorStein, Ivie J.
dc.date1975-06-01
dc.date.accessioned2024-05-23T15:09:01Z
dc.date.available2024-05-23T15:09:01Z
dc.date.issued1975-06-01
dc.descriptionThe purpose of this paper is to present some effective optimization techniques in numerical analysis. A mathematical development and a geometric interpretation of the conjugate direction method are presented. The method is used to minimize a real valued function of n real variables. Included are numerical computations for a variety of test functions. The results are compared computationally with other methods used in minimization. Also, listings of computer programs are included.,National Science Foundation, Washington, DC. 20550, Grant no. GP-40175, August 1, 1973 - Jan. 31, 1975; Faculty Research Grant, The University of Toledo, January, 1974 - June, 1975.
dc.formatapplication/pdf
dc.identifierutoledo:1168
dc.identifieriid: stein-1975-conjugate-direction
dc.identifier.urihttps://hdl.handle.net/20.500.14324/4682
dc.language.isoeng
dc.publisherU.S. Army Research Office
dc.rightsIn Copyright
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectmathematics
dc.titleConjugate Direction Algorithms In Numerical Analysis And Optimization
dc.typeText
dc.typereport

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