A nonmonotone line search technique for Newton's method
SIAM Journal on Numerical Analysis
Mathematical Programming: Series A and B
Nonmonotonic trust region algorithm
Journal of Optimization Theory and Applications
An assessment of nonmonotone linesearch techniques for unconstrained optimization
SIAM Journal on Scientific Computing
Testing Unconstrained Optimization Software
ACM Transactions on Mathematical Software (TOMS)
The Barzilai and Borwein Gradient Method for the Large Scale Unconstrained Minimization Problem
SIAM Journal on Optimization
On the nonmonotone line search
Journal of Optimization Theory and Applications
A Nonmonotone Line Search Technique and Its Application to Unconstrained Optimization
SIAM Journal on Optimization
A nonmonotone trust-region method of conic model for unconstrained optimization
Journal of Computational and Applied Mathematics
Hi-index | 7.29 |
In this paper, we present a new nonmonotone trust-region method of conic model for solving unconstrained optimization problems. Both the local and global convergence properties are analyzed under reasonable assumptions. Numerical experiments are conducted to compare this method with some existed ones which indicate that the new method is efficient.