We introduce and study a generalization of the well-known region of influence proximity drawings, called (ε 1,ε 2)-proximity drawings. Intuitively, given a definition of proximity and two real numbers ε 1 ≥ 0 and ε 2 ≥ 0, an (ε 1,ε 2)-proximity drawing of a graph is a planar straight-line drawing Γ such that: (i) for every pair of adjacent vertices u,v, their proximity region “shrunk” by the multiplicative factor \frac11+e111+1 does not contain any vertices of Γ; (ii) for every pair of non-adjacent vertices u,v, their proximity region “blown-up” by the factor (1 + ε 2) contains some vertices of Γ other than u and v. We show that by using this generalization, we can significantly enlarge the family of the representable planar graphs for relevant definitions of proximity drawings, including Gabriel drawings, Delaunay drawings, and β-drawings, even for arbitrarily small values of ε 1 and ε 2. We also study the extremal case of (0,ε 2)-proximity drawings, which generalizes the well-known weak proximity drawing model.
Approximate Proximity Drawings
LIOTTA, Giuseppe;
2012
Abstract
We introduce and study a generalization of the well-known region of influence proximity drawings, called (ε 1,ε 2)-proximity drawings. Intuitively, given a definition of proximity and two real numbers ε 1 ≥ 0 and ε 2 ≥ 0, an (ε 1,ε 2)-proximity drawing of a graph is a planar straight-line drawing Γ such that: (i) for every pair of adjacent vertices u,v, their proximity region “shrunk” by the multiplicative factor \frac11+e111+1 does not contain any vertices of Γ; (ii) for every pair of non-adjacent vertices u,v, their proximity region “blown-up” by the factor (1 + ε 2) contains some vertices of Γ other than u and v. We show that by using this generalization, we can significantly enlarge the family of the representable planar graphs for relevant definitions of proximity drawings, including Gabriel drawings, Delaunay drawings, and β-drawings, even for arbitrarily small values of ε 1 and ε 2. We also study the extremal case of (0,ε 2)-proximity drawings, which generalizes the well-known weak proximity drawing model.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.