A Cramer rule for least-squares solution of inverse eigenvalue problems
From MaRDI portal
Publication:2764397
zbMATH Open0986.65035MaRDI QIDQ2764397
Publication date: 28 May 2002
Published in: Journal of Tianjin Normal University. Natural Science Edition (Search for Journal in Brave)
Related Items (4)
Analogs of Cramer's rule for the minimum norm least squares solutions of some matrix equations โฎ Title not available (Why is that?) โฎ Title not available (Why is that?) โฎ Title not available (Why is that?)
Recommendations
- Title not available (Why is that?) ๐ ๐
- Title not available (Why is that?) ๐ ๐
- Title not available (Why is that?) ๐ ๐
- Analogs of Cramer's rule for the minimum norm least squares solutions of some matrix equations ๐ ๐
- A Cramer rule for minimum-norm (T) least-squares (S) solution of inconsistent linear equations ๐ ๐
- An approach to solving inverse eigenvalue problems for matrices ๐ ๐
- Least-squares solution for inverse eigenpair problem of nonnegative definite matrices ๐ ๐
- A Cramer rule for solution of the general restricted matrix equation ๐ ๐
- Least-squares solutions of constrained inverse eigenproblem and associated optimal approximation problem ๐ ๐
- On the Least Squares Solution of Inverse Eigenvalue Problems ๐ ๐
This page was built for publication: A Cramer rule for least-squares solution of inverse eigenvalue problems
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q2764397)