本文我们考虑求解凸约束优化问题的信赖域方法。

In this paper, we develop a trust region algorithm for convex constrained optimization problems.

youdao

本文旨在研究求解非凸约束优化问题的基于二阶导数的微分方程方法。

The aim of the dissertation is to study second order derivatives based differential equation approaches to nonconvex constrained optimization problems.

youdao

修正算法对于凸约束优化问题全局收敛，最后我们通过一组数值试验验证了新算法的实际运行效果。

Global convergence is promoted through the use of the filter and the convergence theory holds for convex constrained problems. Numerical results demonstrate the efficiency of the modified algorithm.

youdao