理曼尼牛顿的能源最小化方法 科恩-沙姆类型的问题
R Altmann1, D Peterseim2, T Stykel2
1Institute of Analysis and Numerics, Otto von Guericke University Magdeburg, Universitätsplatz 2, 39106 Magdeburg, Germany.
概括
这项研究引入了新的里曼尼牛顿方法来解决复杂的物理和化学问题. 这些新算法显示出比现有的能源最小化挑战方法更高的性能.
科学领域:
- 计算物理 计算物理
- 量子化学 是一个量子化学.
- 数字分析 数字分析
背景情况:
- 限制能量的最小化问题是计算物理和化学的核心.
- 像Gross-Pitaevskii和Kohn-Sham方程这样的模型需要高效的数值解决方案.
- 现有的方法,如自我一致的场代和梯度下降有局限性.
研究的目的:
- 开发和分析新的数值方法,以最大限度地减少受约束的能量.
- 在无限维的Stiefel和Grassmann多元体上引入里曼尼牛顿方法.
- 调查这些多元体的几何性质及其对算法的影响.
主要方法:
- 为无限维的Stiefel和Grassmann多元体量身定制的里曼尼牛顿方法的开发.
- 在无限维的上下文中,里曼的黑斯的导出.
- 将方法应用于变量空间离谱化.
- 与已建立的方案进行比较的数值实验.
主要成果:
- 建议的里曼尼牛顿方法对于解决受约束的能量最小化问题是有效的.
- 对多元体的几何研究提供了对算法行为的洞察.
- 数字实验证明了新方法的优越性.
- 与自我一致的野外和梯度下降方案相比,观察到显著的性能改进.
结论:
- 里曼尼牛顿方法为复杂的计算问题提供了强大而高效的方法.
- 几何框架增强了对这些数值技术的理解和应用.
- 这些方法比物理和化学模拟中的传统代方案有了显著的进步.
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