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Can Linear Superiorization Be Useful for Linear Optimization Problems?
Linear superiorization considers linear programming problems but instead of attempting to solve them with linear optimization methods it employs perturbation resilient feasibility-seeking algorithms and steers them toward reduced (not necessarily minimal) target function values. The two questions th...
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| Wydane w: | Inverse Probl |
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| 1. autor: | |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
2017
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5766045/ https://ncbi.nlm.nih.gov/pubmed/29335660 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1361-6420/33/4/044006 |
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