A nonmonotone line search technique for Newton's method
SIAM Journal on Numerical Analysis
Mathematical Programming: Series A and B
Testing Unconstrained Optimization Software
ACM Transactions on Mathematical Software (TOMS)
A nonmonotone conic trust region method based on line search for solving unconstrained optimization
Journal of Computational and Applied Mathematics
A new nonmonotone trust-region method of conic model for solving unconstrained optimization
Journal of Computational and Applied Mathematics
Combining nonmonotone conic trust region and line search techniques for unconstrained optimization
Journal of Computational and Applied Mathematics
A new hybrid method for nonlinear complementarity problems
Computational Optimization and Applications
A new modified nonmonotone adaptive trust region method for unconstrained optimization
Computational Optimization and Applications
A modified ODE-based algorithm for unconstrained optimization problems
Numerical Algorithms
Hi-index | 7.30 |
In this paper, we present a nonmonotone trust-region method of conic model for unconstrained optimization. The new method combines a new trust-region subproblem of conic model proposed in [Y. Ji, S.J. Qu, Y.J. Wang, H.M. Li, A conic trust-region method for optimization with nonlinear equality and inequality 4 constrains via active-set strategy, Appl. Math. Comput. 183 (2006) 217-231] with a nonmonotone technique for solving unconstrained optimization. The local and global convergence properties are proved under reasonable assumptions. Numerical experiments are conducted to compare this method with the method of [Y. Ji, S.J. Qu, Y.J. Wang, H.M. Li, A conic trust-region method for optimization with nonlinear equality and inequality 4 constrains via active-set strategy, Appl. Math. Comput. 183 (2006) 217-231].