Abstract Diagonalization of complex symmetric matrices: Generalized Householder reflections, iterative deflation and implicit shifts
首页> 外文期刊>Computer physics communications >Diagonalization of complex symmetric matrices: Generalized Householder reflections, iterative deflation and implicit shifts
【24h】

Diagonalization of complex symmetric matrices: Generalized Householder reflections, iterative deflation and implicit shifts

机译:复杂对称矩阵的对角化:广义的住户反射,迭代通货紧缩和隐式偏移

获取原文
获取原文并翻译 | 示例
           

摘要

AbstractWe describe a matrix diagonalization algorithm for complex symmetric (not Hermitian) matrices,A?=A?T, which is based on a two-step algorithm involving generalized Householder reflections based on the indefinite inner product?u?,v???=iuivi. This inner product is linear in both arguments and avoids complex conjugation. The complex symmetric input matrix is transformed to tridiagonal form using generali
机译:<![cdata [ Abstract 我们描述了复杂对称(不是Hermitian)矩阵的矩阵对角化算法, A = a t < / MML:MROW> ,基于基于INDIMINITE内部产品的概括的家庭参考者的两步算法 u V = σ I U I V i 。该内部产品在两个参数中是线性的,避免复杂的共轭。使用Generali将复杂的对称输入矩阵变换为Tridiacal形式

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号