Convex Optimization Techniques for Geometric Covering Problems
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Convex Optimization Techniques for Geometric Covering Problems

Convex Optimization Techniques for Geometric Covering Problems


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About the Book

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 $\alpha\in\N$) 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 a


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Product Details
  • ISBN-13: 9783754346754
  • Publisher: Books on Demand
  • Binding: Paperback
  • Language: German
  • Returnable: N
  • Weight: 290 gr
  • ISBN-10: 375434675X
  • Publisher Date: 15 Sep 2021
  • Height: 246 mm
  • No of Pages: 128
  • Spine Width: 7 mm
  • Width: 189 mm


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