To analyse the demands made on the garbage collector in a graph reduction system, the change in size of an average graph is studied when an arbitrary edge is removed. In ordered binary trees the average number of deleted nodes as a result of cutting a single edge is equal to the average size of a subtree. Under the assumption that all trees with n nodes are equally likely to occur, the expected size of a subtree is found to be approximately ~'~n-n. The enumeration procedure can be applied to graphs by considering spanning trees in which the nodes that were shared in the graph are marked in the spanning tree. A correction to the calculation of the average is applied by ignoring subgraphs that have a marked root. Under the same assumptio...
Any tree can be represented in a maximally compact form as a directed acyclic graph where common sub...
The execution has been studied of four small and four medium-sized SASL programs, when interpreted b...
Graphs are ubiquitous. They spawn from domains such as the world wide web, social networks, biologic...
To analyse the demands made on the garbage collector in a graph reduction system, the change in size...
To analyse the demands made on the garbage collector in a graph reduction system, the change in size...
We give an asymptotic expression for the expected number of spanning trees in a random graph with a...
Large graphs abound in machine learning, data mining, and several related areas. A useful step towar...
We investigate the statistical properties of cut sizes generated by heuristic algorithms which solve...
The deck of a graph (Formula presented.) is given by the multiset of (unlabeled) subgraphs (Formula ...
The average-case analysis of algorithms for binary search trees yields very different results from t...
In this thesis, we study some width parameters on graphs, beyond tree-width and clique-width. Our fi...
Models for generating simple graphs are important in the study of real-world complex networks. A wel...
Abstract. The paper communicates a polynomial formula giving the number and size of substructures wh...
AbstractLet G be a graph on n vertices, let χ(G) denote its chromatic number, and let α(G) denote th...
We study the average size of the minimal directed acyclic graph (DAG) with respect to so-called leaf...
Any tree can be represented in a maximally compact form as a directed acyclic graph where common sub...
The execution has been studied of four small and four medium-sized SASL programs, when interpreted b...
Graphs are ubiquitous. They spawn from domains such as the world wide web, social networks, biologic...
To analyse the demands made on the garbage collector in a graph reduction system, the change in size...
To analyse the demands made on the garbage collector in a graph reduction system, the change in size...
We give an asymptotic expression for the expected number of spanning trees in a random graph with a...
Large graphs abound in machine learning, data mining, and several related areas. A useful step towar...
We investigate the statistical properties of cut sizes generated by heuristic algorithms which solve...
The deck of a graph (Formula presented.) is given by the multiset of (unlabeled) subgraphs (Formula ...
The average-case analysis of algorithms for binary search trees yields very different results from t...
In this thesis, we study some width parameters on graphs, beyond tree-width and clique-width. Our fi...
Models for generating simple graphs are important in the study of real-world complex networks. A wel...
Abstract. The paper communicates a polynomial formula giving the number and size of substructures wh...
AbstractLet G be a graph on n vertices, let χ(G) denote its chromatic number, and let α(G) denote th...
We study the average size of the minimal directed acyclic graph (DAG) with respect to so-called leaf...
Any tree can be represented in a maximally compact form as a directed acyclic graph where common sub...
The execution has been studied of four small and four medium-sized SASL programs, when interpreted b...
Graphs are ubiquitous. They spawn from domains such as the world wide web, social networks, biologic...