Characterization of All Graphs with a Failed Skew Zero Forcing Number of 1
Given a graph G, the zero forcing number of G, Z(G), is the minimum cardinality of any set S of vertices of which repeated applications of the forcing rule results in all vertices being in S.
Aidan Johnson +2 more
doaj +3 more sources
Failed Skew Zero Forcing Numbers of Path Powers and Circulant Graphs
For a graph G, the zero forcing number of G, Z(G), is defined to be the minimum cardinality of a set S of vertices for which repeated applications of the forcing rule results in all vertices being in S. The forcing rule is as follows: if a vertex v is in
Aidan Johnson +3 more
doaj +3 more sources
Failed Zero Forcing Numbers of Trees and Circulant Graphs
Given a graph $G$, the zero forcing number of $G$, $Z(G)$, is the smallest cardinality of any set $S$ of vertices on which repeated applications of the forcing rule (described below) results in all vertices being in $S$.
Luis Gomez +4 more
doaj +3 more sources
Properties of SuperHyperGraph and Neutrosophic SuperHyperGraph [PDF]
New setting is introduced to study dominating, resolving, coloring, Eulerian(Hamiltonian) neutrosophic path, n-Eulerian(Hamiltonian) neutrosophic path, zero forcing number, zero forcing neutrosophicnumber, independent number, independent neutrosophic ...
Henry Garrett
doaj +1 more source
An Inverse Approach for Finding Graphs with a Failed Zero Forcing Number of k
For a given a graph G, the zero forcing number of G, Z(G), is the smallest cardinality of any set S of vertices on which repeated applications of the forcing rule results in all vertices being included in S.
Chirag Kaudan +2 more
doaj +1 more source
Background: Human Normal Immunoglobulin (HNIg) is a complex plasma-derived blood product used to treat a variety of medical conditions. Global supply problems have increased focus on HNIg stewardship, including mandatory recording of HNIg usage on the ...
Alice Pinfield, Kit Lai, Shelley Jones
doaj +1 more source
State and parameter estimation for a neural model of local field potentials. [PDF]
Avitabile D, Lord GJ, Meddouni K.
europepmc +1 more source
The limitations of non-mechanistic methods for characterizing pathogen-pathogen interactions: A simulation study. [PDF]
Kramer SC +4 more
europepmc +1 more source
Forecasting compound sea level extremes: the 29-30 October 2018 Adriatic storm surge and meteotsunami extreme. [PDF]
Ruić K +4 more
europepmc +1 more source
Leveraging perturbations to infer the population dynamics of human rhinovirus and interaction of influenza A virus. [PDF]
Benhamou W +5 more
europepmc +1 more source

