Mathematical Sciences: High Speed Methods for Algebraic Eigenvalue Problems using Intermediate Problem Techniques

数学科学：使用中间问题技术解决代数特征值问题的高速方法

• 批准号: 8807483
• 负责人: David Fox
• 金额: $ 16万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1988
• 资助国家: 美国
• 起止时间: 1988-07-15 至 1991-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8807483&HistoricalAwards=false
• 关键词: Mathematical; Sciences; Speed; Methods; Algebraic

This research is concerned with the development of new and extremely fast algorithms for a large class of symmetric matrix eigenvalue computations. The underlying bases of the methods are the techniques and ideas that grew out of intermediate problems. These techniques promise significant improvements over the fastest computational procedures known for a large class of problems and also the methods will be very suitable for parallel computation.

这项研究涉及针对大量对称矩阵特征值计算的新且极快算法的开发。 这些方法的基本基础是从中间问题出现的技术和思想。 这些技术有望比针对大量问题已知的最快计算程序进行显着改进，并且这些方法将非常适合并行计算。