A New Scaled Three-Term Conjugate Gradient Algorithms For Unconstrained Optimization

Authors

  • Zeyad M. Abdullah College of computer Sciences, Department of Mathematics, Tikrit University, Iraq
  • Songul A. Asker College of computer Sciences, Department of Mathematics, Tikrit University, Iraq

DOI:

https://doi.org/10.25130/tjps.v28i4.1534

Keywords:

Three-Term Conjugate Gradient method, Unconstrained Optimization, Global convergence

Abstract

Since optimization problems are getting more complicated, new ways to solve them must be thought of, or existing methods must be improved. In this research, we expand the different parameters of the three-term conjugate gradient method to work out unconstrained optimization problems. Our new CG approach meets the conditions of sufficient descent, and global convergence. In addition, we describe some numerical results that imply comparisons to relevant methodologies in the existing research literature.

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Published

2023-08-25

How to Cite

Abdullah, Z. M., & Asker, S. A. (2023). A New Scaled Three-Term Conjugate Gradient Algorithms For Unconstrained Optimization. Tikrit Journal of Pure Science, 28(4), 103–110. https://doi.org/10.25130/tjps.v28i4.1534

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