Methods of conjugate directions without line searches

dc.contributor.authorOsei-Frimpong, Emmanuel
dc.date.accessioned2012-03-28T20:51:16Z
dc.date.accessioned2023-04-21T11:16:37Z
dc.date.available2012-03-28T20:51:16Z
dc.date.available2023-04-21T11:16:37Z
dc.date.issued1992
dc.descriptionA thesis submitted to the Board of Postgraduate Studies, Kwame Nkrumah University of Science and Technology, Kumasi, in partial fulfilment of the requirement for the award of the Degree of Master of Science in Mathematics.en_US
dc.description.abstractMost published minimization algorithms on conjugate direction involve exact linear searches in the generation of’ the conjugate directions. Examples of these algorithms include conjugate gradient and variable metric methods. The most expensive aspect of any conjugate direction method is the (exact) linear search part. Recently, ways have been sought to avoid these exact linear searches by replacing them with inexact or approximate linear searches. This thesis examines some conjugate direction algorithms without exact linear searches, namely those by (i) R. Fletcher (ii) L. C. W. Dixon (iii) D. Goldfarb For each of these algorithms, a FORTRAN subroutine program has been written and tested on some standard test functions on an IBM PS/2 computer system.en_US
dc.description.sponsorshipKNUSTen_US
dc.identifier.urihttps://ir.knust.edu.gh/handle/123456789/3340
dc.language.isoenen_US
dc.relation.ispartofseries2122
dc.titleMethods of conjugate directions without line searchesen_US
dc.typeThesisen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
KNUST Library.pdf
Size:
7.09 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.73 KB
Format:
Item-specific license agreed to upon submission
Description:
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description: