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arXiv · 1410.0130

Weak and Strong Superiorization: Between Feasibility-Seeking and Minimization

Yair Censor
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Abstract

We review the superiorization methodology, which can be thought of, in some cases, as lying between feasibility-seeking and constrained minimization. It is not quite trying to solve the full fledged constrained minimization problem; rather, the task is to find a feasible point which is superior (with respect to an objective function value) to one returned by a feasibility-seeking only algorithm. We distinguish between two research directions in the superiorization methodology that nourish from the same general principle: Weak superiorization and strong superiorization and clarify their nature.

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Yair Censor. 2014-12-09. Weak and Strong Superiorization: Between Feasibility-Seeking and Minimization. https://arxiv.org/abs/1410.0130

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