Convex Optimization Techniques for Geometric Covering Problems

Name: Convex Optimization Techniques for Geometric Covering Problems
Brand: Books on Demand
SKU: 9783754346754
Price: 2597 HUF
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Szerző: Jan Hendrik Rolfes

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Kötés: Puha kötésű

Kiadó: Books on Demand

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The present thesis is a commencement of a generalization of covering results in specific settings, s...

Információk a könyvről

Szerző

Jan Hendrik Rolfes

Nyelv

Német

Kötés

Könyv - Puha kötésű

Kiadva

2021

oldal

128

EAN

9783754346754

ISBN

375434675X

Enbook ID

37142216

Kiadó

Books on Demand

Súly

240

Méretek

189 x 246 x 7

Teljes leírás

The present thesis is a commencement of a generalization of covering results in specific settings, such as the Euclidean space or the sphere, to arbitrary compact metric spaces. In particular we consider coverings of compact metric spaces $(X,d)$ by balls of radius $r$. We are interested in the minimum number of such balls needed to cover $X$, denoted by $Ncal(X,r)$. For finite $X$ this problem coincides with an instance of the combinatorial textsc{set cover} problem, which is $mathrm{NP}$-complete. We illustrate approximation techniques based on the moment method of Lasserre for finite graphs and generalize these techniques to compact metric spaces $X$ to obtain upper and lower bounds for $Ncal(X,r)$. The upper bounds in this thesis follow from the application of a greedy algorithm on the space $X$. Its approximation quality is obtained by a generalization of the analysis of Chv'atal's algorithm for the weighted case of textsc{set cover}. We apply this greedy algorithm to the spherical case $X=S^n$ and retrieve the best non-asymptotic bound of B"or"oczky and Wintsche. Additionally, the algorithm can be used to determine coverings of Euclidean space with arbitrary measurable objects having non-empty interior. The quality of these coverings slightly improves a bound of Nasz'odi. For the lower bounds we develop a sequence of bounds $Ncal^t(X,r)$ that converge after finitely (say $alphainN$) many steps: $$Ncal^1(X,r)leq ldots leq Ncal^alpha(X,r)=Ncal(X,r).$$ The drawback of this sequence is that the bounds $Ncal^t(X,r)$ are increasingly difficult to compute, since they are the objective values of infinite-dimensional conic programs whose number of constraints and dimension of underlying cones grow accordingly to $t$. We show that these programs satisfy strong duality and derive a finite dimensional semidefinite program to approximate $Ncal^2(S^2,r)$ to arbitrary precision. Our results rely in part on the moment methods developed by de Laat and Vallentin for the packing problem on topological packing graphs. However, in the covering problem we have to deal with two types of constraints instead of one type as in packing problems and consequently additional work is required.

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Convex Optimization Techniques for Geometric Covering Problems

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