An algorithm for finding an optimal projection of a symmetric matrix onto a diagonal matrix (Q2877086)
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: An algorithm for finding an optimal projection of a symmetric matrix onto a diagonal matrix |
scientific article; zbMATH DE number 6333366
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | An algorithm for finding an optimal projection of a symmetric matrix onto a diagonal matrix |
scientific article; zbMATH DE number 6333366 |
Statements
21 August 2014
0 references
matrix projection
0 references
matrix embedding
0 references
augmented Lagrangian method
0 references
active-set method
0 references
Stiefel manifold
0 references
Grassmannian manifold
0 references
optimization over Riemannian manifolds
0 references
orthogonality constraints
0 references
algorithm
0 references
numerical test
0 references
An algorithm for finding an optimal projection of a symmetric matrix onto a diagonal matrix (English)
0 references
Motivated by an application in atomic chemistry, the author discusses the problem of finding the optimal projection of a given symmetric matrix onto a given diagonal matrix. Starting with the investigation of two-sided optimization problems, it is shown that they generally do not have unique optimal solutions. Algorithms are proposed to find optimal solutions whose major costs are a few eigenvalue decompositions. Numerical tests are given to test the performance of the new algorithm.
0 references
0.7289738059043884
0 references
0.7148564457893372
0 references
0.7125558853149414
0 references