References
- Y. H. Dai, A nonmonotone conjugate gradient algorithm for unconstrained optimization, J. Syst. Sci. Complex. 15 (2002), no. 2, 139-145.
- Y. H. Dai and Y. X. Yuan, A Nonlinear conjugate gradient with a strong global convergence property, SIAM. J. Optimization 10 (2000), 177-182.
- Y. H. Dai and Y. X. Yuan, Nonlinear Conjugate Gradient Method, Shanghai Scientific and Technical, Shanghai, China, 2000.
- Y. H. Dai and Y. X. Yuan, Convergence properties of the conjugate descent method, Adv. in Math. (China) 25 (1996), no. 6, 552-562.
- R. Fletcher, Practical Methods of Optimization, John Wiley & Sons, Ltd., 1987.
- J. C. Gilbert and J. Nocedal, Global convergence properties of conjugate gradient methods for optimization, SIAM J. Optim. (1992), no. 1, 21-42.
- J. J. More, B. S. Garbow, and K. E. Hillstrome, Testing unconstrained optimization software, ACM Trans. Math. Software 7 (1981), no. 1, 17-41. https://doi.org/10.1145/355934.355936
- B. T. Polak, The conjugate gradient method in extreme problems, USSR Comput. Math. Math. Phys. 9 (1969), 94-112. https://doi.org/10.1016/0041-5553(69)90035-4
- E. Polak and G. Ribiere, Note sur la convergence de methodes de directions conjuguees, Rev. Francaise Informat. Recherche Operationnelle 3 (1969) no. 16, 35-43.
- Z. Wei, S. Yao, and L. Liu, The convergence properties of some new conjugate gradient methods, Appl. Math. Comput. 183 (2006), no. 2, 1341-1350. https://doi.org/10.1016/j.amc.2006.05.150
- G. Zoutendijk, Nonlinear Programming Computational Methods, Integer and nonlinear programming, pp. 37-86. North-Holland, Amsterdam, 1970.
Cited by
- A convergent modified HS-DY hybrid conjugate gradient method for unconstrained optimization problems pp.2169-0103, 2018, https://doi.org/10.1080/02522667.2018.1424087