第二部分主要研究无约束最优化问题非单调信赖域法。
At the second part, nonmonotonic trust region method for unconstrained optimization is studied.
提出一种解大规模无约束优化问题的自适应过滤信赖域法。
An adaptive filter trust region method for large scale unconstrained optimization is proposed.
应用目前流行的信赖域算法，并用带有信赖域技巧的截断共扼梯度法来解信赖域子问题。
We apply the popular trust region algorithm and truncated conjugate gradient algorithm with trust region skills to solve trust region subproblems.
数值效果显示在数值结果差不多的情况下我们的方法在计算时间上比信赖域-截断共轭梯度法有优越性。
Numerical results demonstrate that our approach is effective, by noting that the computation time is largely shortened in comparison with the trust-truncate CG method.
数值效果显示在数值结果差不多的情况下我们的方法在计算时间上比信赖域-截断共轭梯度法有优越性。
Numerical results demonstrate that our approach is effective, by noting that the computation time is largely shortened in comparison with the trust-truncate CG method.
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