Robert B. Ellis
Illinois Institute of Technology
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Publication
Featured researches published by Robert B. Ellis.
Algorithmica | 2007
Robert B. Ellis; Jeremy L. Martin; Catherine H. Yan
The unit ball random geometric graph
Journal of Combinatorial Theory | 2002
Joshua N. Cooper; Robert B. Ellis; Andrew B. Kahng
G=G^d_p(\lambda,n)
International Journal of Mathematics and Mathematical Sciences | 2004
Robert B. Ellis; Catherine H. Yan
has as its vertices n points distributed independently and uniformly in the unit ball in
Journal of Combinatorial Theory | 2005
Robert B. Ellis; Vadim Ponomarenko; Catherine H. Yan
{\Bbb R}^d
foundations of mobile computing | 2008
Gruia Calines u; Robert B. Ellis
, with two vertices adjacent if and only if their ℓp-distance is at most λ. Like its cousin the Erdos-Renyi random graph, G has a connectivity threshold: an asymptotic value for λ in terms of n, above which G is connected and below which G is disconnected. In the connected zone we determine upper and lower bounds for the graph diameter of G. Specifically, almost always,
graph drawing | 2004
Robert B. Ellis; Jeremy L. Martin; Catherine H. Yan
{\rm diam}_p({\bf B})(1-o(1))/\lambda\leq {\rm diam}(G) \leq {\rm diam}_p({\bf B})(1+O((\ln \ln n/{\rm ln}\,n)^{1/d}))/\lambda
electro information technology | 2015
Edidiong Attang; Mandana Norouzi; Yuteng Wu; Robert B. Ellis; Guillermo E. Atkin
, where
Iet Communications | 2015
Mandana Norouzi; Yuteng Wu; Edidiong Attang; Robert B. Ellis; Guillermo E. Atkin
{\rm diam}_p({\bf B})
electro information technology | 2015
Mandana Norouzi; Edidiong Attang; Yuteng Wu; Robert B. Ellis; Guillermo E. Atkin
is the ℓp-diameter of the unit ball B. We employ a combination of methods from probabilistic combinatorics and stochastic geometry.
international symposium on parallel architectures algorithms and networks | 2005
Jay Bagga; Daniela Ferrero; Robert B. Ellis
An asymmetric binary covering code of length n and radius R is a subset C of the n-cube Qn such that every vector x ∈ Qn can be obtained from some vector c ∈ c by changing at most R 1s of c to 0s, where R is as small as possible. K+ (n, R) is defined as the smallest size of such a code. We show K+(n, R) ∈ Θ (2n/nR) for constant R, using an asymmetric sphere-covering bound and probabilistic methods. We show K+(n,n -R) = R+ 1 for constant coradius R iff n ≥ R(R + 1)/2. These two results are extendetd to near-constant R and R, respectively. Various bounds on K+ are given in terms of the total number of 0s or 1s in a minimal code. The dimension of a minimal asymmetric linear binary code ([n, R]+-code) is determined to be min{0, n - R}. We conclude by discussing open problems and techniques to compute explicit values for K+, giving a table of best-known bounds.