一个无约束有限内存信赖域方法及其实现_stmopen 关键词】: 信赖域方法;大规模优化;有限内存方法 [gap=585]Keywords】: trust region methods, large scale optimization, limited memory methods
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An attractive property of trust region methods lies in their numerical stability and robustness.
信赖域算法的一个显著优点是其稳定的数值性能。
In this paper, we propose a new class of trust region methods for nonlinear optimization problems.
本文提出一类新的解无约束最优化问题的信赖域方法。
In this paper, we mainly discuss the modified quasi-Newton trust region methods based on a conic model (TRCM method) and prove their convergence properties.
沿袭用锥模型来逼近原问题的思路，本文主要研究锥模型拟牛顿信赖域方法的参数选择、收敛性和数值实现。
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