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On Quasi-Newton Method for Solving Unconstrained Optimization Problems
American Journal of Applied Mathematics
Volume 3, Issue 2, April 2015, Pages: 47-50
Received: Dec. 25, 2014; Accepted: Feb. 14, 2015; Published: Feb. 26, 2015
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Authors
Felix Makanjuola Aderibigbe, Department of Mathematical Sciences, Ekiti State University, Ado Ekiti, Nigeria
Kayode James Adebayo, Department of Mathematical Sciences, Ekiti State University, Ado Ekiti, Nigeria
Adejoke O. Dele-Rotimi, Department of Mathematical Sciences, Ekiti State University, Ado Ekiti, Nigeria
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Abstract
This paper discusses the use of quasi-Newton method algorithm employed in solving unconstrained optimization problems. The method is aimed at circumventing the computational rigours undergone using the Newton’s method.The Quasi –Newton method algorithm was tested on some benced mark problems with the results compared with the Conjugate Gradient Method. The results gotten using the Quasi-Newton Method compared favourably with results of existing CGM algorithm.
Keywords
Optimization Problems, Conjugate Gradient Method, Control Operator
To cite this article
Felix Makanjuola Aderibigbe, Kayode James Adebayo, Adejoke O. Dele-Rotimi, On Quasi-Newton Method for Solving Unconstrained Optimization Problems, American Journal of Applied Mathematics. Vol. 3, No. 2, 2015, pp. 47-50. doi: 10.11648/j.ajam.20150302.13
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