Revision as of 20:07, 8 December 2011 edit MFH (talk \| contribs) Extended confirmed users 2,120 edits There is a paper about Non-Symmetric Lanczos' algorithm ← Previous edit		Revision as of 12:14, 24 April 2016 edit undo 89.139.52.157 (talk) →problematic matrix decomposition: new section Next edit →
Line 42: [[User:Felipebm\|Felipebm]] ([[User talk:Felipebm\|talk]]) 13:34, 17 May 2011 (UTC) == problematic matrix decomposition == In the section "Power method for finding eigenvalues", the matrix A is represented as <math>A=U\text{diag}(\sigma_i)U'</math>, which is true only for normal matrices. For the general case, SVD decomposition should be used, i.e. <math>A=U\text{diag}(\sigma_i)V'</math> where U and V are some orthogonal matrices.

Talk:Lanczos algorithm: Difference between revisions