Abstract
Conjugate Gradient (CG) method has been enormously used to solve large scale unconstrained optimization problems due to the number of iteration, memory, CPU time, and convergence property, in this paper we proposed a new class of nonlinear conjugate gradient coefficient with global convergence properties proved by exact line search. The numerical results for our CG method new present an efficient numerical result when it compared with well-known formulas. Keywords—Conjugate gradient method, conjugate gradient coefficient, global convergence.
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More From: Zenodo (CERN European Organization for Nuclear Research)
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