Global convergence of a new spectral conjugate gradient by using strong wolfe line search
Unconstrained optimization problems can be solved by using few popular methods such as Conjugate Gradient (CG) method, Steepest Descent (SD) Method and Broyden-Fletcher-Goldfarb-Shanno (BFGS) method. The simplest solving method is by using SD method but nowadays CG method is used worldwide due to it...
Saved in:
Main Authors: | Zahrahtul Amani, Zakaria, Mustafa, Mamat, Mohd, Rivaie |
---|---|
格式: | Article |
語言: | English |
出版: |
HIKARI Ltd.
2015
|
主題: | |
在線閱讀: | http://eprints.unisza.edu.my/6330/1/FH02-FIK-15-03433.jpg http://eprints.unisza.edu.my/6330/ |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Global convergence analysis of a new nonlinear conjugate gradient coefficient with strong Wolfe line search
由: Mustafa, Mamat
出版: (2014) -
An efficient hybrid conjugate gradient method with the strong Wolfe-Powell line search
由: Mustafa, Mamat, et al.
出版: (2015) -
A new nonlinear conjugate gradient coefficient under strong Wolfe-Powell line search
由: Mustafa, Mamat, et al.
出版: (2017) -
Global convergence analysis of a new nonlinear conjugate gradient coefficient with strong wolfe line search
由: Abdelrahman Abdalla, A., et al.
出版: (2014) -
A conjugate gradient method with Strong Wolfe-Powell line search for unconstrained optimization
由: Mustafa, Mamat, et al.
出版: (2016)