這篇論文使用前人所提出的七種方法LMGS、ITQR、imITQR、CB、HH、TLD和TLS,去造一個賈可比(Jacobi)矩陣。文中我們使用已知的特徵值(eigenvalue)和特徵向量的第一個成份,去運作這些演算法,並列出數值的結果,以比較這六種方法造出來的賈可比矩陣之準確性。 / In this thesis seven methods LMGS、ITQR、imITQR、CB、HH、TLS and TLD developed in the past are applied to construct a Jacobi matrix. We use the known eige-envalues and the first components of eigenvctors of a Jacobi matrix to execute thes-e algorithms and list the numerical results and compare the accuracy of the computed Jacobi matrix.
Identifer | oai:union.ndltd.org:CHENGCHI/B2002001691 |
Creators | 張天財, Chang, Tian-Tsair |
Publisher | 國立政治大學 |
Source Sets | National Chengchi University Libraries |
Language | 英文 |
Detected Language | English |
Type | text |
Rights | Copyright © nccu library on behalf of the copyright holders |
Page generated in 0.0019 seconds