[PDF][PDF] A descent modified Hager-Zhang conjugate gradient method and its global convergence
GM Al-Naemi, HI Ahmed - IRAQI JOURNAL OF STATISTICAL SCIENCES, 2011 - iasj.net
In this paper, based on the memoryless BFGS quasi-Newton method, we propose a new
modified Hager-Zhang (HZ) type method. An attractive property of the proposed method is …
modified Hager-Zhang (HZ) type method. An attractive property of the proposed method is …
[PDF][PDF] New Hybrid CG Algorithm Based on PR and FR-CG Steps
AY Al-Bayati, KK Abbo, AM Abdalah - iasj.net
In this paper, a new hybrid conjugate gradient algorithm is proposed for unconstrained
optimization. This algorithm combines the desirable computation aspects of Polak-Ribier …
optimization. This algorithm combines the desirable computation aspects of Polak-Ribier …
[PDF][PDF] Scaled CG Algorithm for Nonlinear Unconstrained Optimization
RS Muhammad - 2010 - researchgate.net
Abstract The Conjugate Gradient (CG) method is particularly useful for minimizing
(maximizing) non-linear functions of many variables because it does not require the storage …
(maximizing) non-linear functions of many variables because it does not require the storage …
Using the Update of Conditional BFGS in Constrained Optimization
A Al-Bayati, B Mitras - Al-Rafidain Journal of Computer …, 2009 - csmj.mosuljournals.com
In this paper, we have used one of the preconditioned conjugate gradient algorithm with the
Quasi–Newton approximation; namely the BFGS preconditioned algorithm which was …
Quasi–Newton approximation; namely the BFGS preconditioned algorithm which was …