| inria-00169080, version 5 |
|
|
| Voir la fiche détaillée | BibTeX EndNote TEI RefWorks |
|
|
|||||||
| We analyze a decomposition algorithm for minimizing a quadratic objective function, separable in x1 and x2, subject to the constraint that x1 and x2 are orthogonal vectors on the unit sphere. Our algorithm consists of a local step where we minimize the objective function in either variable separately, while enforcing the constraints, followed by a global step where we minimize over a subspace generated by solutions to the local subproblems. We establish a local convergence result when the global minimizers nondegenerate. Our analysis employs necessary and sufficient conditions and continuity properties for a global optimum of a quadratic objective function subject to a sphere constraint and a linear constraint. The analysis is connected with a new domain decomposition algorithm for electronic structure calculations. |
|
|
|
|
|
|
|
|
| a – | |
| b – | |
| c – | |
| 1 : | Department of Mathematics |
| University of Florida | |
| 2 : | MICMAC (INRIA Rocquencourt) |
| INRIA – Ecole Nationale des Ponts et Chaussées |
|
|
|
|
|
|
|
|
| Domaine | : | Mathématiques/Analyse numérique |
| RR-6288 |
| Versions disponibles : | v1 (31-08-2007) | v2 (13-09-2007) | v3 (14-09-2007) | v4 (01-06-2009) | v5 (02-06-2009) |
| inria-00169080, version 5 | |
| http://hal.inria.fr/inria-00169080/fr/ | |
| oai:hal.inria.fr:inria-00169080 | |
| Contributeur : Guy Bencteux | |
| Soumis le : Mardi 2 Juin 2009, 16:44:56 | |
| Dernière modification le : Mardi 2 Juin 2009, 21:23:38 | |