Square distance functions are Polyak-{\L}ojasiewicz and vice-versa
Guillaume Garrigos

TL;DR
This paper establishes a fundamental equivalence between squared distance functions and Polyak-{\
Contribution
It demonstrates that squared distance functions are Polyak-{\
Findings
Squared distance functions are Polyak-{\
Polyak-{\
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Abstract
This short note gathers known results to state that the squared distance function to a (nonconvex) closed set of an Euclidean space is Polyak-{\L}ojasiewicz. As a fuzzy reciprocate, we also recall that every Polyak-{\L}ojasiewicz function can be bounded from below by the squared distance function to its set of minimizers.
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Taxonomy
TopicsOptimization and Variational Analysis · Functional Equations Stability Results · Fuzzy Systems and Optimization
