Name
Abstract | ||
|---|---|---|
We analyze a reliable and efficient max-norm a posteriori error estimator for a control-constrained, linear–quadratic optimal control problem. The estimator yields optimal experimental rates of convergence within an adaptive loop. |
Year | Venue | Keywords |
|---|---|---|
2019 | Computational Optimization and Applications | Linear–quadratic optimal control problem, Finite element methods, A posteriori error analysis, Maximum–norm, 49J20, 49M25, 65K10, 65N15, 65N30, 65N50, 65Y20 |
Field | DocType | ISSN |
Convergence (routing),Minimum-variance unbiased estimator,Mathematical optimization,Optimal control,A priori and a posteriori,Minimax estimator,Bayes estimator,Mathematics,Estimator | Journal | 1573-2894 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alejandro Allendes | 1 | 4 | 3.92 |
| Enrique Otárola | 2 | 86 | 13.91 |
| Richard Rankin | 3 | 0 | 1.35 |
| Abner J. Salgado | 4 | 105 | 13.27 |