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Dive into the research topics where Ryan R. Martin is active.

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Featured researches published by Ryan R. Martin.


Discrete Mathematics | 2007

Codes identifying sets of vertices in random networks

Alan M. Frieze; Ryan R. Martin; Julien Moncel; Miklós Ruszinkó; Clifford D. Smyth

In this paper we deal with codes identifying sets of vertices in random networks; that is, (1,=<@?)-identifying codes. These codes enable us to detect sets of faulty processors in a multiprocessor system, assuming that the maximum number of faulty processors is bounded by a fixed constant @?. The (1,=<1)-identifying codes are of special interest. For random graphs we use the model G(n,p), in which each one of the (n2) possible edges exists with probability p. We give upper and lower bounds on the minimum cardinality of a (1,=<@?)-identifying code in a random graph, as well as threshold functions for the property of admitting such a code. We derive existence results from probabilistic constructions. A connection between identifying codes and superimposed codes is also established.


Journal of Combinatorial Theory | 2013

On diamond-free subposets of the Boolean lattice

Lucas Kramer; Ryan R. Martin; Michael Young

The Boolean lattice of dimension two, also known as the diamond, consists of four distinct elements with the following property: A@?B,C@?D. A diamond-free family in the n-dimensional Boolean lattice is a subposet such that no four elements form a diamond. Note that elements B and C may or may not be related. There is a diamond-free family in the n-dimensional Boolean lattice of size (2-o(1))(n@?n/2@?). In this paper, we prove that any diamond-free family in the n-dimensional Boolean lattice has size at most (2.25+o(1))(n@?n/2@?). Furthermore, we show that the so-called Lubell function of a diamond-free family in the n-dimensional Boolean lattice which contains the empty set is at most 2.25+o(1), which is asymptotically best possible.


Random Structures and Algorithms | 2003

How many random edges make a dense graph Hamiltonian

Tom Bohman; Alan M. Frieze; Ryan R. Martin

This paper investigates the number of random edges required to add to an arbitrary dense graph in order to make the resulting graph Hamiltonian with high probability. Adding Θ(n) random edges is both necessary and sufficient to ensure this for all such dense graphs. If, however, the original graph contains no large independent set, then many fewer random edges are required. We prove a similar result for directed graphs.


Order | 2012

Q 2 -free Families in the Boolean Lattice

Maria Axenovich; Jacob Manske; Ryan R. Martin

For a family


Random Structures and Algorithms | 2004

Adding random edges to dense graphs

Tom Bohman; Alan M. Frieze; Michael Krivelevich; Ryan R. Martin

{{\cal F}}


Linear Algebra and its Applications | 2010

Expected values of parameters associated with the minimum rank of a graph

H. Tracy Hall; Leslie Hogben; Ryan R. Martin; Bryan L. Shader

of subsets of [n] = {1, 2, ..., n} ordered by inclusion, and a partially ordered set P, we say that


Discrete Mathematics | 2012

Induced saturation number

Ryan R. Martin; Jason Smith

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Graphs and Combinatorics | 2006

Sub-Ramsey Numbers for Arithmetic Progressions

Maria Axenovich; Ryan R. Martin

is P-free if it does not contain a subposet isomorphic to P. Let ex(n, P) be the largest size of a P-free family of subsets of [n]. Let Q2 be the poset with distinct elements a, b, c, d, a < b,c < d; i.e., the 2-dimensional Boolean lattice. We show that 2N − o(N) ≤ ex(n, Q2) ≤ 2.283261N + o(N), where


SIAM Journal on Discrete Mathematics | 2006

On the Strong Chromatic Number of Graphs

Maria Axenovich; Ryan R. Martin

N = \binom{n}{\lfloor n/2 \rfloor}


Discrete Mathematics | 2015

On the computation of edit distance functions

Ryan R. Martin

. We also prove that the largest Q2-free family of subsets of [n] having at most three different sizes has at most 2.20711N members.

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Maria Axenovich

Karlsruhe Institute of Technology

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Alan M. Frieze

Carnegie Mellon University

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Tom Bohman

Carnegie Mellon University

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Andrew J. Uzzell

University of Nebraska–Lincoln

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Miklós Ruszinkó

Hungarian Academy of Sciences

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Clifford D. Smyth

Massachusetts Institute of Technology

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