A New Formula for Conjugate Gradient in Unconstrained Optimization

Authors

  • Isam H. Hali
  • Khalil K. Abbo
  • Hassan H. Ebrahim

DOI:

https://doi.org/10.25130/tjps.v27i1.87

Keywords:

Unconstrained Optimization; (CG) Method; Wolfe Line Search; Global Convergence

Abstract

The method of Conjugate Gradient (CG) is a key component of optimization methods that aren't bound by local convergence characteristics. In this study, we created KHI3, a novel search direction in the (CG) Algorithm. The novel approach satisfies the regression criterion. The overall convergence of the proposed technique has also been proved utilizing Wolff search line words. A new algorithm for solving the large-scale unconstrained optimization issue is particularly successful.

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Published

2022-12-02

How to Cite

Isam H. Hali, Khalil K. Abbo, & Hassan H. Ebrahim. (2022). A New Formula for Conjugate Gradient in Unconstrained Optimization. Tikrit Journal of Pure Science, 27(1), 110–114. https://doi.org/10.25130/tjps.v27i1.87

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