一般扰乱弹性动态字符串平均化对于超级化不一致的问题
1Department of Mathematics, University of Haifa, Mt. Carmel, Haifa, 3498838 Israel.
概括
本研究引入了通用动态字符串平均 (GDSA) 代方案,用于操作员缺乏共同固定点的不一致情况. 新方法显示了弱和强的融合,以增强的特性扩展了先前的算法.
科学领域:
- 优化理论 优化理论
- 应用数学 应用数学 应用数学
- 功能分析是一种功能分析.
背景情况:
- 2013年引入的动态字符串平均投影 (DSAP) 算法在一致的情况下显示出强烈的收和局限性扰动弹性.
- 2015年之前的工作探索了将DSAP与优化方法结合起来.
- 操作符序列的"连贯性"概念于2001年建立,并于2019年引入了"强连贯性".
研究的目的:
- 介绍和分析通用动态字符串平均 (GDSA) 代方案.
- 在不一致的情况下,研究GDSA的弱和强收特性.
- 检查GDSA方法的有限扰动弹性.
主要方法:
- 开发通用动态字符串平均化 (GDSA) 代方案.
- 利用运算符序列的"强连贯性"概念来证明趋同.
- 在不一致的场景中对一般类型的运营商进行GDSA方法的分析.
主要成果:
- 建立了GDSA方法在不一致的情况下的弱收,基于"强相干"属性.
- 在不一致的设置中证明GDSA方法的边界扰动弹性.
- 展示了GDSA在优化方法中的应用.
结论:
- GDSA 方法为解决涉及不一致操作者的问题提供了一个强大的方法.
- "强连贯性"属性为分析具有无限运算符序列的代方法提供了强大的工具.
- GDSA增强了优化技术的能力,特别是在挑战不一致的场景中.
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