A Cramer rule for least-squares solution of inverse eigenvalue problems (Q2764397)
From MaRDI portal
| This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: A Cramer rule for least-squares solution of inverse eigenvalue problems |
scientific article; zbMATH DE number 1690393
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | A Cramer rule for least-squares solution of inverse eigenvalue problems |
scientific article; zbMATH DE number 1690393 |
Statements
28 May 2002
0 references
least-squares method
0 references
inverse eigenvalue problem
0 references
Cramer rule
0 references
0.9231416
0 references
0.9005153
0 references
0.8966101
0 references
0.8876002
0 references
0.8864277
0 references
0.88379216
0 references
A Cramer rule for least-squares solution of inverse eigenvalue problems (English)
0 references
The least-squares solution of the inverse eigenvalue problems is transformed into the minimum-norm least-squares solution of linear equations by the Kronecker product. The Cramer rule for the least-squares solution of the inverse eigenvalue problem is presented.
0 references