Title of article
A family of parallel quasi-Newton algorithms for unconstrained minimization
Author/Authors
Salim, M. S. Department of Mathematics - Faculty of Science - Al-Azhar University, Assiut, Egypt , Ahmed, A.I. Department of Mathematics - Faculty of Science - Al-Azhar University, Assiut, Egypt
Pages
11
From page
1123
To page
1133
Abstract
This paper deals with the solution of the unconstrained optimization problems on parallel computers using quasi-Newton methods. The algorithm is based on that parallelism can be exploited in function and derivative evaluation costs and linear algebra calculations in the standard sequential algorithm. Computational problem is reported for showing that the parallel algorithm is superior to the sequential one.
Keywords
Parallel algorithm , Unconstrained optimization , Quasi-Newton
Journal title
International Journal of Nonlinear Analysis and Applications
Serial Year
2021
Record number
2607821
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