Results 31 to 40 of about 545,686 (65)
Computation of the Hausdorff Distance between Two Compact Convex Sets
The Hausdorff distance between two closed sets has important theoretical and practical applications. Yet apart from finite point clouds, there appear to be no generic algorithms for computing this quantity.
Kenneth Lange
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Ball and Spindle Convexity with respect to a Convex Body [PDF]
Let $C\subset {\mathbb R}^n$ be a convex body. We introduce two notions of convexity associated to C. A set $K$ is $C$-ball convex if it is the intersection of translates of $C$, or it is either $\emptyset$, or ${\mathbb R}^n$.
Lángi, Zsolt+2 more
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Number of Spinal-Convex Polyominoes
In his paper we describe a restricted class of polyominoes called spinal-convex polyominoes. Spinal-convex polyominoes created by two columns such that column 1 (respectively, column2) with at most two set columns sequence of adjacent ominoes and column ...
Mustafa A. Sabri, Eman F. Mohomme
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On Infinitesimal Approximation of a Continuous Function [PDF]
If and are convex subsets in , and in for all . If the approximation family is the set An Infinitesimal approximation of an element in established in [4],[5].
Tahir Ismail
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The definition of the convex hull of a set of points is the smallest convex set containing all the points. Many algorithms have been proposed with the worst case time complexity is equal to O (n log n).
K. R. Wijeweera, S. R. Kodituwakku
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Convex Independence in Permutation Graphs
A set C of vertices of a graph is P_3-convex if every vertex outside C has at most one neighbor in C. The convex hull \sigma(A) of a set A is the smallest P_3-convex set that contains A.
B Courcelle+11 more
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Covariance Estimation in Elliptical Models with Convex Structure
We address structured covariance estimation in Elliptical distribution. We assume it is a priori known that the covariance belongs to a given convex set, e.g., the set of Toeplitz or banded matrices.
Soloveychik, Ilya, Wiesel, Ami
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The Hermite-Hadamard inequality for s-Convex functions in the third sense
In this paper, the Hermite-Hadamard inequality for s-convex functions in the third sense is provided. In addition, some integral inequalities for them are presented.
Sevda Sezer
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We address the problem of one dimensional segment detection and estimation, in a regression setup. At each point of a fixed or random design, one observes whether that point belongs to the unknown segment or not, up to some additional noise.
Brunel, Victor-Emmanuel
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Triangulation Algorithm Based on Empty Convex Set Condition
The article is devoted to generalization of Delaunay triangulation. We suggest to consider empty condition for special convex sets. For given finite set P ⊂ Rn we shall say that empty condition for convex set B ⊂ Rn is fullfiled if P ∩ B = P ∩ ∂B. Let Φ =
Klyachin Vladimir Aleksandrovich
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