activity
20082017
most citedTable of minimum ranks of graphs of order at most 7 and selected optimal matrices

4 citations · 6 across the 2 of their papers we have counts for

collaborators

6 papers

math.CO2017

Restricted power domination and zero forcing problems

Chassidy Bozeman, Boris Brimkov, Craig Erickson +3

Power domination in graphs arises from the problem of monitoring an electric power system by placing as few measurement devices in the system as possible. A power dominating set of…

math.CO2017

The inverse eigenvalue problem of a graph: Multiplicities and minors

Wayne Barrett, Steve Butler, Shaun M. Fallat +5

The inverse eigenvalue problem of a given graph is to determine all possible spectra of real symmetric matrices whose off-diagonal entries are governed by the adjacencies in $G…

math.CO20172 cited

The relationship between -forcing and -power domination

Daniela Ferrero, Leslie Hogben, Franklin H. J. Kenter +1

Zero forcing and power domination are iterative processes on graphs where an initial set of vertices are observed, and additional vertices become observed based on some rules. In b…

math.CO2016

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

Tracy Hall, Leslie Hogben, Ryan R. Martin +1

We investigate the expected value of various graph parameters associated with the minimum rank of a graph, including minimum rank/maximum nullity and related Colin de Verdière-type…

math.CO2016

Multi-part Nordhaus-Gaddum type problems for tree-width, Colin de Verdière type parameters, and Hadwiger number

Leslie Hogben, Jephian C. -H. Lin, Michael Young

A traditional Nordhaus-Gaddum problem for a graph parameter is to find a (tight) upper or lower bound on the sum or product of and (where denotes…

math.CO20084 cited

Table of minimum ranks of graphs of order at most 7 and selected optimal matrices

Laura DeLoss, Jason Grout, Leslie Hogben +3

The minimum rank of a simple graph is defined to be the smallest possible rank over all symmetric real matrices whose th entry (for ) is nonzero whenever