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The Complexity of the Hausdorff Distance

Authors: Paul Jungeblut; Linda Kleist; Tillmann Miltzow;

The Complexity of the Hausdorff Distance

Abstract

AbstractWe investigate the computational complexity of computing the Hausdorff distance. Specifically, we show that the decision problem of whether the Hausdorff distance of two semi-algebraic sets is bounded by a given threshold is complete for the complexity class $${ \forall \exists _{<}\mathbb {R}} $$ ∀ ∃ < R . This implies that the problem is -, -, $$\exists \mathbb {R} $$ ∃ R -, and $$\forall \mathbb {R} $$ ∀ R -hard.

Country
Germany
Keywords

ddc:004, Computational Geometry (cs.CG), FOS: Computer and information sciences, Existential Theory of the Reals, Hausdorff distance, Complexity theory, Universal Existential Theory of the Reals, DATA processing & computer science, Computational Complexity (cs.CC), Hausdorff Distance, 004, Computer Science - Computational Complexity, Existential theory of the reals, Semi-algebraic set, Semi-Algebraic Set, Computer Science - Computational Geometry, Universal existential theory of the reals, info:eu-repo/classification/ddc/004, Complexity Theory, ddc: ddc:004

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Top 10%
Green
hybrid