Nonmonotone alternative direction method based on simple conic model for unconstrained optimization

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A nonmonotone trust region method based on simple conic models for unconstrained optimization
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Global convergece of the bfgs algorithm with nonmonotone linesearch^∗^∗this work is supported by national natural science foundation$ef:
A new alternating direction trust region method based on conic model for solving unconstrained optimization
Optimality Conditions for Trust-Region Subproblems Involving a Conic Model
A New Algorithm for Unconstrained Optimization
Benchmarking optimization software with performance profiles.
On the nonmonotone line search

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