Name
Abstract | ||
|---|---|---|
We discuss a partially augmented Lagrangian method for optimization programs with matrix inequality constraints. A global convergence result is obtained. Applications to hard problems in feedback control are presented to validate the method numerically. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1137/S1052623402413963 | SIAM Journal on Optimization |
Keywords | Field | DocType |
linear matrix inequalities,matrix inequality constraints,feedback control,hard problem,partially augmented lagrangian method,bilinear matrix inequalities,matrix inequality constraint,optimization program,global convergence result,lagrangian method,semidefinite programming,augmented lagrangian,augmented lagrangian method,linear matrix inequality | Convergence (routing),Convergent matrix,Discrete mathematics,Mathematical optimization,Matrix (mathematics),Matrix function,Matrix decomposition,Augmented Lagrangian method,Linear matrix inequality,Semidefinite programming,Mathematics | Journal |
Volume | Issue | ISSN |
15 | 1 | 1052-6234 |
Citations | PageRank | References |
23 | 1.87 | 13 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dominikus Noll | 1 | 328 | 41.74 |
| Mounir Torki | 2 | 38 | 3.35 |
| Pierre Apkarian | 3 | 635 | 108.90 |