A nonmonotone line search technique for Newton's method
SIAM Journal on Numerical Analysis
Nonmonotonic trust region algorithm
Journal of Optimization Theory and Applications
Nonmonotone curvilinear line search methods for unconstrained optimization
Computational Optimization 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)
Global convergence of nonmonotone descent methods for unconstrained optimization problems
Journal of Computational and Applied Mathematics - Special issue: Papers presented at the 1st Sino--Japan optimization meeting, 26-28 October 2000, Hong Kong, China
Numerical research on the sensitivity of nonmonotone trust region algorithms to their parameters
Computers & Mathematics with Applications
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In this paper, we present a new algorithm using the nonmonotone second-order Wolfe's line search. By using the negative curvature information from the Hessian, we prove that the generated sequence converges to the stationary points that satisfy the second-order optimality conditions. We also report numerical results which show the efficiency and robustness of the proposed method.