A note on packing spanning trees in graphs and bases in matroids

نویسندگان

  • Robert F. Bailey
  • Mike Newman
  • Brett Stevens
چکیده

We consider the class of graphs for which the edge connectivity is equal to the maximum number of edge-disjoint spanning trees, and the natural generalization to matroids, where the cogirth is equal to the number of disjoint bases. We provide descriptions of such graphs and matroids, showing that such a graph (or matroid) has a unique decomposition. In the case of graphs, our results are relevant for certain communication protocols.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

On packing spanning trees in graphs and bases in matroids

We consider the class of graphs for which the edge connectivity is equal to the maximum number of edge-disjoint spanning trees, and the natural generalization to matroids, where the cogirth is equal to the number of disjoint bases. We provide structural descriptions of such graphs and matroids. In the case of graphs, our results are relevant for certain communication protocols.

متن کامل

Random Sampling in Matroids, with Applications to Graph Connectivity and Minimum Spanning Trees

Random sampling i s a powerful way t o gather informat ion about a group by considering only a small part of it. W e give a paradigm f o r applying this technique to optimization problems, and demonstrate its effectiveness o n matroids. Matroids abstractly model many optimization problems that can be solved by greedy methods, such as the minimum spanning tree ( M S T ) problem. Our results have...

متن کامل

Counting the number of spanning trees of graphs

A spanning tree of graph G is a spanning subgraph of G that is a tree. In this paper, we focus our attention on (n,m) graphs, where m = n, n + 1, n + 2, n+3 and n + 4. We also determine some coefficients of the Laplacian characteristic polynomial of fullerene graphs.

متن کامل

Random Sampling and Greedy Sparsiication for Matroid Optimization Problems

Random sampling is a powerful tool for gathering information about a group by considering only a small part of it. We discuss some broadly applicable paradigms for using random sampling in combinatorial optimization, and demonstrate the eeectiveness of these paradigms for two optimization problems on matroids: nding an optimum matroid basis and packing disjoint matroid bases. Applications of th...

متن کامل

Random sampling and greedy sparsification for matroid optimization problems

Random sampling is a powerful tool for gathering information about a group by considering only a small part of it. We discuss some broadly applicable paradigms for using random sampling in combinatorial optimization, and demonstrate the eeectiveness of these paradigms for two optimization problems on matroids: nding an optimum matroid basis and packing disjoint matroid bases. Applications of th...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Australasian J. Combinatorics

دوره 59  شماره 

صفحات  -

تاریخ انتشار 2014