A quadratic programming approach to the Randić index

A quadratic programming approach to the Randić index

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Article ID: iaor20084662
Country: Netherlands
Volume: 176
Issue: 1
Start Page Number: 435
End Page Number: 444
Publication Date: Jan 2007
Journal: European Journal of Operational Research
Authors: ,
Keywords: programming: quadratic
Abstract:

Let G(k,n) be the set of connected graphs without multiple edges or loops which have n vertices and the minimum degree of vertices is k. The Randić index χ = χ(G) of a graph G is defined by χ(G)=∑(uv)uδv)-1/2, where δu is the degree of vertex u and the summation extends over all edges (uv) of G. Caporossi et al. proposed the use of linear programming as one of the tools for finding the extremal graphs. In this paper we introduce a new approach based on quadratic programming for finding the extremal graphs in G(k,n) for this index. We found the extremal graphs or gave good bounds for this index when the number nk of vertices of degree k is between n − k and n. We also tried to find the graphs for which the Randić index attained its minimum value with given k (k ⩽ n/2) and n. We have solved this problem partially, that is, we have showed that the extremal graphs must have the number nk of vertices of degree k less or equal n − k and the number of vertices of degree n − 1 less or equal k.

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