刊名:Journal of Optimization Theory and Applications
出版年:2017
出版时间:January 2017
年:2017
卷:172
期:1
页码:179-186
全文大小:
刊物主题:Calculus of Variations and Optimal Control; Optimization; Optimization; Theory of Computation; Applications of Mathematics; Engineering, general; Operation Research/Decision Theory;
出版者:Springer US
ISSN:1573-2878
卷排序:172
文摘
A new modified Barzilai–Borwein gradient method for solving the strictly convex quadratic minimization problem is proposed by properly changing the Barzilai–Borwein stepsize such that some certain multi-step quasi-Newton condition is satisfied. The global convergence is analyzed. Numerical experiments show that the new method can outperform some known gradient methods.