2005International Journal of Computer MathematicsRequires access

Self-stabilizing tree ranking

Pranay Chaudhuri, Hussein Thompson

Open publisher page 5 citations

Abstract

Given a graph G and some property ℘ (g), a ℘-ranking (ordering) of the nodes of G can be defined as a one-to-one function from V to {1, 2, 3, …, n} such that property ℘(G) holds for each node i∈V. In this paper we present an O(n 2) self-stabilizing algorithm which, when given a rooted tree T, will provide ℘-rankings consistent with the following standard graph traversal properties: (i) preorder traversal; (ii) postorder traversal; (iii) reverse-postorder traversal; (iv) breadth-first traversal; (v) breadth–depth traversal.

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What this paper is about

Given a graph G and some property ℘ (g), a ℘-ranking (ordering) of the nodes of G can be defined as a one-to-one function from V to {1, 2, 3, …, n} such that property ℘(G) holds for each node i∈V. In this paper we present an O(n 2) self-stabilizing algorithm which, when given a rooted tree T, will provide ℘-rankings consistent with the following standard graph traversal properties: (i) preorder traversal; (ii) postorder traversal; (iii) reverse-postorder traversal; (iv) breadth-first traversal; (v) breadth–depth traversal.

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Available abstract

Given a graph G and some property ℘ (g), a ℘-ranking (ordering) of the nodes of G can be defined as a one-to-one function from V to {1, 2, 3, …, n} such that property ℘(G) holds for each node i∈V. In this paper we present an O(n 2) self-stabilizing algorithm which, when given a rooted tree T, will provide ℘-rankings consistent with the following standard graph traversal properties: (i) preorder traversal; (ii) postorder traversal; (iii) reverse-postorder traversal; (iv) breadth-first traversal; (v) breadth–depth traversal.

Key concepts: Tree traversal, Graph traversal, Preorder, Mathematics, Graph, Combinatorics, Tree (set theory), Property (philosophy)

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