Global Convergence of a New Conjugate Gradient Method with Wolfe Type Line Search

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Volume 7, Issue 1

Y.y. Chen

J. Info. Comput. Sci. , 7 (2012), pp. 067-071.

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Abstract

In this paper, a new nonlinear conjugate gradient methods with wolfe type line search for solving unstrained optimization problems is proposed. The direction generated by the new methods produce sufficient descent search direction. Under some conditions, we give the global convergence results for the new nonlinear conjugate gradient methods with Wolfe type line search. Finally, the numerical results show that the new method is also efficient for general unconstrained optimizations.

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@Article{JICS-7-067, author = {Y.y. Chen}, title = {Global Convergence of a New Conjugate Gradient Method with Wolfe Type Line Search}, journal = {Journal of Information and Computing Science}, year = {2012}, volume = {7}, number = {1}, pages = {067--071}, abstract = { In this paper, a new nonlinear conjugate gradient methods with wolfe type line search for solving unstrained optimization problems is proposed. The direction generated by the new methods produce sufficient descent search direction. Under some conditions, we give the global convergence results for the new nonlinear conjugate gradient methods with Wolfe type line search. Finally, the numerical results show that the new method is also efficient for general unconstrained optimizations. }, issn = {3080-180X}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jics/22663.html} }

TY - JOUR T1 - Global Convergence of a New Conjugate Gradient Method with Wolfe Type Line Search AU - Y.y. Chen JO - Journal of Information and Computing Science VL - 1 SP - 067 EP - 071 PY - 2012 DA - 2012/03 SN - 7 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/jics/22663.html KW - AB - In this paper, a new nonlinear conjugate gradient methods with wolfe type line search for solving unstrained optimization problems is proposed. The direction generated by the new methods produce sufficient descent search direction. Under some conditions, we give the global convergence results for the new nonlinear conjugate gradient methods with Wolfe type line search. Finally, the numerical results show that the new method is also efficient for general unconstrained optimizations.

Y.y. Chen. (2012). Global Convergence of a New Conjugate Gradient Method with Wolfe Type Line Search. Journal of Information and Computing Science. 7 (1). 067-071. doi:

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