Active-set prediction for interior point methods using controlled perturbations
We propose the use of controlled perturbations to address the challenging question of optimal active-set prediction for interior point methods. Namely, in the context of linear programming, we consider perturbing the inequality constraints/bounds so as to enlarge the feasible set. We show that if th...
| Main Authors: | , |
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| Format: | Journal article |
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Springer Verlag
2016
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| _version_ | 1797082106460897280 |
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| author | Cartis, C Yan, Y |
| author_facet | Cartis, C Yan, Y |
| author_sort | Cartis, C |
| collection | OXFORD |
| description | We propose the use of controlled perturbations to address the challenging question of optimal active-set prediction for interior point methods. Namely, in the context of linear programming, we consider perturbing the inequality constraints/bounds so as to enlarge the feasible set. We show that if the perturbations are chosen appropriately, the solution of the original problem lies on or close to the central path of the perturbed problem. We also find that a primal-dual path-following algorithm applied to the perturbed problem is able to accurately predict the optimal active set of the original problem when the duality gap for the perturbed problem is not too small; furthermore, depending on problem conditioning, this prediction can happen sooner than predicting the active set for the perturbed problem or when the original one is solved. Encouraging preliminary numerical experience is reported when comparing activity prediction for the perturbed and unperturbed problem formulations. |
| first_indexed | 2024-03-07T01:23:32Z |
| format | Journal article |
| id | oxford-uuid:9128efa4-2ef3-49fb-b3cb-12064d59ae2a |
| institution | University of Oxford |
| last_indexed | 2024-03-07T01:23:32Z |
| publishDate | 2016 |
| publisher | Springer Verlag |
| record_format | dspace |
| spelling | oxford-uuid:9128efa4-2ef3-49fb-b3cb-12064d59ae2a2022-03-26T23:16:54ZActive-set prediction for interior point methods using controlled perturbationsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:9128efa4-2ef3-49fb-b3cb-12064d59ae2aSymplectic Elements at OxfordSpringer Verlag2016Cartis, CYan, YWe propose the use of controlled perturbations to address the challenging question of optimal active-set prediction for interior point methods. Namely, in the context of linear programming, we consider perturbing the inequality constraints/bounds so as to enlarge the feasible set. We show that if the perturbations are chosen appropriately, the solution of the original problem lies on or close to the central path of the perturbed problem. We also find that a primal-dual path-following algorithm applied to the perturbed problem is able to accurately predict the optimal active set of the original problem when the duality gap for the perturbed problem is not too small; furthermore, depending on problem conditioning, this prediction can happen sooner than predicting the active set for the perturbed problem or when the original one is solved. Encouraging preliminary numerical experience is reported when comparing activity prediction for the perturbed and unperturbed problem formulations. |
| spellingShingle | Cartis, C Yan, Y Active-set prediction for interior point methods using controlled perturbations |
| title | Active-set prediction for interior point methods using controlled perturbations |
| title_full | Active-set prediction for interior point methods using controlled perturbations |
| title_fullStr | Active-set prediction for interior point methods using controlled perturbations |
| title_full_unstemmed | Active-set prediction for interior point methods using controlled perturbations |
| title_short | Active-set prediction for interior point methods using controlled perturbations |
| title_sort | active set prediction for interior point methods using controlled perturbations |
| work_keys_str_mv | AT cartisc activesetpredictionforinteriorpointmethodsusingcontrolledperturbations AT yany activesetpredictionforinteriorpointmethodsusingcontrolledperturbations |