Search Results
| Search type | Search syntax |
|---|---|
| Tags | [tag] |
| Exact | "words here" |
| Author |
user:1234 user:me (yours) |
| Score |
score:3 (3+) score:0 (none) |
| Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
| Views | views:250 |
| Code | code:"if (foo != bar)" |
| Sections |
title:apples body:"apples oranges" |
| URL | url:"*.example.com" |
| Saves | in:saves |
| Status |
closed:yes duplicate:no migrated:no wiki:no |
| Types |
is:question is:answer |
| Exclude |
-[tag] -apples |
| For more details on advanced search visit our help page | |
Results tagged with linear-algebra
Search options not deleted
user 11726
Questions on the algorithmic/computational aspects of linear algebra, including the solution of linear systems, least squares problems, eigenproblems, and other such matters.
1
vote
Eigenvectors: MATLAB vs LAPACK DGGEV or DGGEVX
The best way to find the answer to this question was to experiment:
We calculated the Eigen values & vectors of two badly-conditioned matrices with MATLAB R2013b by using eig command like eig(a,b,'qz …
- 165
4
votes
2
answers
3k
views
Eigenvectors: MATLAB vs LAPACK DGGEV or DGGEVX
If we call LAPACK DGGEV or DGGEVX routines for two badly-conditioned matrices in a C++ code, will we get the same eigen-values & vectors as MATLAB's eig command with 'qz' algorithm like: eig(a,b,'qz') …
- 165