Abstract
The convex dimension of a graph G = (V, E) is the smallest dimension d for which G admits an injective map f : V {long rightwards arrow} Rd of its vertices into d-space, such that the barycenters of the images of the edges of G are in convex position. The strong convex dimension of G is the smallest d for which G admits a map as above such that the images of the vertices of G are also in convex position. In this paper we study the convex and strong convex dimensions of graphs.
Original language | English |
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Pages (from-to) | 1373-1383 |
Number of pages | 11 |
Journal | Discrete Applied Mathematics |
Volume | 155 |
Issue number | 11 |
DOIs | |
State | Published - 1 Jun 2007 |
Externally published | Yes |
Bibliographical note
Funding Information:The research of the three authors was supported in part by a grant from ISF—the Israel Science Foundation.
Funding
The research of the three authors was supported in part by a grant from ISF—the Israel Science Foundation.
Funders | Funder number |
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Israel Science Foundation |
Keywords
- Convex combinatorial optimization
- Discrete geometry
- Graph embedding