Lectures on modern convex optimization: analysis, algorithms, and engineering applications
Lectures on modern convex optimization: analysis, algorithms, and engineering applications
Adaptive sampling for geometric problems over data streams
PODS '04 Proceedings of the twenty-third ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Illustrating the streaming construction of 2D delaunay triangulations
Proceedings of the twenty-second annual symposium on Computational geometry
Deterministic sampling and range counting in geometric data streams
ACM Transactions on Algorithms (TALG)
A minimum spanning ellipse algorithm
SFCS '81 Proceedings of the 22nd Annual Symposium on Foundations of Computer Science
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In this paper we consider the problem of computing an approximate ellipsoid in the streaming model of computation, motivated by a 3/2-factor approximation algorithm for computing approximate balls. Our contribution is twofold: first, we show how to compute an approximate ellipsoid as done in the approximate ball algorithm, and second, construct an input to show that the approximation factor can be unbounded, unlike the algorithm for computing approxinmate balls. Though the ratio of volumes can become unbounded, we show that there exists a direction in which the ratio of widths is bounded by a factor of 2.