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New methods for developing parallel algorithms of direct search in numerical optimization

Firas Mahmood Saeed et al · University of Mosul, College of Education for Pure Science · 2013

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Author / responsible party
Firas Mahmood Saeed et al
Publisher
University of Mosul, College of Education for Pure Science
Year
2013
ISSN
1812-125X
ISSN
1812-125X
Language
English
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Abstract<br /> The Purpose of this research is the development Direct Search Methods for minimizing the objective function; <br /> The Developed Methods reduces the approach time to the minimum through two techniques:<br /> 1) by reducing the number of function evaluation.<br /> 2) by developing algorithms suitable for running on MIMD(Multiple Instruction Stream Multiple Data Stream).<br /> We developed two methods, the first method depends on the "pattern search" and the other depends on the "direct search" technique. The comparison of results shows the new algorithms are faster than corresponding algorithms.

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APA 7

al, F. M. S. E. (2013). New methods for developing parallel algorithms of direct search in numerical optimization. https://doi.org/10.33899/edusj.2013.89839

MLA

al, Firas Mahmood Saeed et. "New methods for developing parallel algorithms of direct search in numerical optimization." 2013. https://doi.org/10.33899/edusj.2013.89839.

Chicago

al, Firas Mahmood Saeed et. 2013. "New methods for developing parallel algorithms of direct search in numerical optimization.". https://doi.org/10.33899/edusj.2013.89839.

Harvard

al, F. M. S. E. 2013, New methods for developing parallel algorithms of direct search in numerical optimization, University of Mosul, College of Education for Pure Science, available at: https://doi.org/10.33899/edusj.2013.89839 [Accessed 7 Aug. 2026].

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Title
New methods for developing parallel algorithms of direct search in numerical optimization
Author / contributors
Firas Mahmood Saeed et al
Publisher
University of Mosul, College of Education for Pure Science
Publication year
2013
ISSN
1812-125X
ISSN
1812-125X
Language
English

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parallel algorithms; direct search; numerical optimization
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