Separating Balls with a Hyperplane
نویسندگان
چکیده
Let D be a set of n pairwise disjoint unit balls in R and P the set of their center points. A hyperplane H is an m-separator for D if each closed halfspace bounded by H contains at least m points from P . This generalizes the notion of halving hyperplanes, which correspond to n/2-separators. The analogous notion for point sets has been well studied. Separators have various applications, for instance, in divide-andconquer schemes. In such a scheme any ball that is intersected by the separating hyperplane may still interact with both sides of the partition. Therefore it is desirable that the separating hyperplane intersects a small number of balls only. We present two deterministic algorithms to bisect or approximately bisect a given set of disjoint unit balls by a hyperplane: Firstly, we present a simple linear-time algorithm to construct an αn-separator for balls in R, for any 0 < α < 1/2, that intersects at most cn(d−1)/d balls, for some constant c that depends on d and α. The number of intersected balls is best possible up to the constant c. Secondly, we present a near-linear time algorithm to construct an (n/2 − o(n))-separator in R that intersects o(n) balls.
منابع مشابه
Halving Balls in Deterministic Linear Time
Let D be a set of n pairwise disjoint unit balls in R and P the set of their center points. A hyperplane H is an m-separator for D if each closed halfspace bounded by H contains at leastm points from P. This generalizes the notion of halving hyperplanes, which correspond to n/2-separators. The analogous notion for point sets has been well studied. Separators have various applications, for insta...
متن کاملEfficiency Analysis Based on Separating Hyperplanes for Improving Discrimination among DMUs
Data envelopment analysis (DEA) is a non-parametric method for evaluating the relative technical efficiency for each member of a set of peer decision making units (DMUs) with multiple inputs and multiple outputs. The original DEA models use positive input and output variables that are measured on a ratio scale, but these models do not apply to the variables in which interval scale data can appe...
متن کاملمقایسه روشهای طبقهبندی ماشین بردار پشتیبان و شبکه عصبی مصنوعی در استخراج کاربریهای اراضی از تصاویر ماهوارهای لندست TM
Land use classification and mapping mostly use remotely sensed data. During the past decades, several advanced classification methods such as neural network and support vector machine (SVM) have been developed. In the present study, Landsat TM images with 30m spatial resolution were used to classify land uses through two classification methods including support vector machine and neural network...
متن کاملOn the Helly Number for Hyperplane Transversals to Unit Balls
We prove some results about the Hadwiger problem of nding the Helly number for line transversals of disjoint unit disks in the plane, and about its higher-dimensional generalization to hyperplane transversals of unit balls in d-dimensional Euclidean space. These include (a) a proof of the fact that the Helly number remains 5 even for arbitrarily large sets of disjoint unit disks|thus correcting...
متن کاملEstimates for the extremal sections of complex p - balls Duc
The problem of maximal hyperplane section of Bp(C) with p≥ 1 is considered, which is the complex version of central hyperplane section problem of Bp(R). The relation between the complex slicing problem and the complex isotropic constant of a body is established, an upper bound estimate for the volume of complex central hyperplane sections of normalized complex p(C)-balls that does not depend on...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2014