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Global convergence property with inexact line search for a new conjugate gradient method

            [19] Hamel, N., Benrabia, N., Ghiat, M., & Gueb-  [30] Djordjevi´c, S. S. (2016). New hybrid conjugate
                bai, H. (2024). Developing a new conjugate gradi-  gradient method as a convex combination of FR
                ent algorithm with the bebefit of some desirable  and PRP methods. Filomat, 30(11), 3083-3100.
                properties of the newton algorithm for uncon-     https://doi.org/10.2298/FIL1611083D
                strained optimization. Journal of Applied Anal-  [31] Hamdi, H., Sellami, B., & Bellofi, M. (2020). A
                ysis and Computation, 14(1), 458-472. https:      new hybrid conjugate gradient method as a con-
                //doi.org/10.11948/20230268                       vex combination of DY and BA methods. Com-
            [20] Hallal, A., Belloufi, M., & Sellami, B. (2024). A  munications in Optimization Theory, 2020, 1-9.
                new hybrid CG method as convex combination.   [32] Andrei, N. (2008). An unconstrained optimization
                Mathematical Foundations of Computing, 7(4),      test functions collection. Advanced Modeling and
                522-530. https://doi.org/10.3934/mfc.20           Optimization, 10, 147-161.
                23028                                         [33] Dolan, E. D., & Mor´e, J. J. (2002). Benchmarking
            [21] Guefassa, I., Chaib, Y., & Bechouat, T. (2023). A  optimization software with performance profiles.
                hybrid conjugate gradient method between MLS      Mathematical Programming, 91, 201-213. https:
                and FR in nonparametric statistics. Communica-    //doi.org/10.1007/s101070100263
                tions in Combinatorics and Optimization.      [34] Dai, Y. H., & Yuan, Y. (2001). An efficient hybrid
            [22] Delladji, S., Belloufi, M., & Sellami, B. (2021).  conjugate gradient method for unconstrained op-
                Behavior of the combination of PRP and HZ         timization. Annals of Operations Research, 103,
                methods for unconstrained optimization. Numer-    33-47. https://doi.org/10.1023/A:10129304
                ical Algebra, Control and Optimization, 11(3),    16777
                377-389. https://doi.org/10.3934/naco.2       [35] Hanachi, S. B., Sellami, B., & Belloufi, M. (2022).
                020032                                            New iterative conjugate gradient method for
            [23] Delladji, S., Belloufi, M., & Sellami, B. (2021).  nonlinear unconstrained optimization. RAIRO-
                New hybrid conjugate gradient method as a con-    Operations Research, 56(4), 2315-2327. https:
                vex combination of FR and BA methods. Journal     //doi.org/10.1051/ro/2022109
                of Information and Optimization Sciences, 42(3),  [36] Chaib, Y., & Bechouat, T. (2023). Two modified
                591-602. https://doi.org/10.1080/02522667         conjugate gradient methods for solving uncon-
                .2020.1778841                                     strained optimization and application. RAIRO-
            [24] Djordjevi´c, S. S. (2018). New hybrid conjugate  Operations Research, 57(2), 333-350. https://
                gradient method as a convex combination of HS     doi.org/10.1051/ro/2023010
                and FR conjugate gradient methods. Journal of
                Applied Mathematics and Computation, 2, 366-
                378. https://doi.org/10.26855/jamc.2018.0
                9.002                                         Sabrina Ben Hanachi is a Ph.D. student at Mo-
            [25] Al-Bayati, A. Y., & Al-Assady, N. H. (1986).  hamed Cherif Messaadia University, Algeria, since
                Conjugate gradient method. Technical Research.  2022, specializing in nonlinear optimization. She has
                School of Computer Studies, Leeds University,  also published two articles in the RAIRO-Operations
                UK.                                           Research journal, the first in 2022 and the second in
            [26] Hager, W. W., & Zhang, H. (2005). A new con-  2024. Her research interests include numerical analy-
                jugate gradient method with guaranteed descent  sis and applied mathematics.  https://orcid.or
                and an efficient line search. Society for Industrial  g/0000-0003-3610-3346
                and Applied Mathematics Journal on Optimiza-
                tion, 16(1), 170-192. https://doi.org/10.113
                                                              Badreddine Sellami is a professor in the Depart-
                7/030601880
                                                              ment of Mathematics and Computer Science at Mo-
            [27] Andrei, N. (2009). New hybrid conjugate gradient
                                                              hammed Cherif Messaadia University in Souk-Ahras,
                algorithms for unconstrained optimization. Ad-
                                                              Algeria. He received his Ph.D. in Functional Analysis
                vanced Modeling and Optimization, 8-10.
                                                              and Optimization from Badji-Mokhtar University, Al-
            [28] Bongartz, I., Conn, A. R., Gould, N., & Toint,
                                                              geria, in 2014. His research primarily focuses on the
                P. L. (1995). CUTE: constrained and uncon-
                                                              application of mathematical methods to optimization
                strained testing environments. ACM Transactions
                                                              problems.
                on Mathematical Software (TOMS), 21(1), 123-
                                                                 https://orcid.org/0009-0007-6981-5207
                160. https://doi.org/10.1145/200979.20104
                3
            [29] Delladji, S., Belloufi, M., & Sellami, B. (2021).  Mohammed Belloufi is a professor at the Depart-
                New hybrid conjugate gradient method as a con-  ment of Mathematics and Computer Science at Mo-
                vex combination of FR and BA methods. Journal  hammed Cherif Messaadia University in Souk-Ahras,
                of Information and Optimization Sciences, 42(3),  Algeria. He received his Ph.D in Numerical Analysis
                p. 591-602. https://doi.org/10.1080/025226    and Optimization from Badji-Mokhtar University, Al-
                67.2020.1778841                               geria in 2014.
                                                                 https://orcid.org/0000-0001-7877-0230

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