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AUTHOR(S): Aseel M. Qasim
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ABSTRACT I modified a new formula for the standard conjugate gradient (CG) technique in this paper. This new formula will help us to improve and develop the numerical results that we need to be more effective and realized for our functions, which will be used in the future in applicants, the new factor that we hybridize with HZ coefficient is used to create the new method of conjugate gradient technique and the global convergent property will be derived for the proposed algorithm. The numerical results imply that the new suggested algorithm is more suitable and efficient when it compared to other well-known standard CG methods, such as the FR method. |
KEYWORDS Search direction, low memory, Quasi newton, nonlinear optimization, Matlab |
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Cite this paper Aseel M. Qasim. (2024) A New Investigation for Conjugate Gradient Methods to Solve large problems in Unconstrained Optimization. International Journal of Mathematical and Computational Methods, 9, 54-61 |
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