Some new conjugate gradient methods for solving unconstrained optimization problems. Issue 4 (19th May 2022)

• Record Type: Journal Article
• Authors: Hassan, Basim A.; Abdullah, Zeyad M.; Hussein, Saif A.
• Is Part Of: Journal of information & optimization sciences. Volume 43:Issue 4(2022)
• Page Start: 893
• Page End: 903
• Publication Date: 2022-05-19
• Subjects: Primary 93A30 -- Secondary 49K15; Some a new conjugate gradient methods -- Globally convergent -- Numerical results; Electronic data processing -- Periodicals; Information science -- Periodicals; Mathematical optimization -- Periodicals; 519.6
• DOI: 10.1080/02522667.2022.2103300
• Languages: English
• ISSNs: 0252-2667

Abstract

Abstract: Conjugate gradient algorithms come in a wide range of flavors. Conjugate gradient techniques primarily concentrate on the coefficient conjugate. We introduce a novel conjugate gradient approach that computes the parameter by using Newton updates. In addition, we have demonstrated that our conjugate gradient algorithms are globally convergent and descent property. For the specified test issues in [1] the performance profiles revealed that the novel conjugate gradient approach is effective and efficient.