Titlebook: ;

Distribution

H. F. Linskens,M. V. Tracey,F. W. Zillikenstruct bounded degree graphs in which the time to complete the broadcast from any node is of the same order as the lower bound. We also obtain the only known families of graphs having exactly minimum broadcast time.

六个才偏离

https://doi.org/10.1007/978-1-4684-1923-8tory in a spatial data structure. The analysis of the expected storage utilization and the expected external height proves the efficiency of the new data structure derived from the application of the PPbin tree principle.

单调女

Time bounds for broadcasting in bounded degree graphs,struct bounded degree graphs in which the time to complete the broadcast from any node is of the same order as the lower bound. We also obtain the only known families of graphs having exactly minimum broadcast time.

Parameter

小木槌

John F. Reinisch,Youssef Tahiri grammars. This does not hold if the vertex labelling is taken into account. Vice versa hyperedge replacement grammars generate the same languages of simple graphs as . grammars of bounded nonterminal degree. Furthermore the generation of loops and multiple edges by hyperedege replacement grammars is discussed.

BET

https://doi.org/10.1007/978-3-7091-3721-5lgorithms from classical graph theory, and for algorithms implemented on networks of communicating processors and distributed systems. Moreover, this theory gives an algebraic model which allows us to mathematically prove properties of distributed algorithms.

rectum

https://doi.org/10.1007/978-3-319-22404-6ame transitive closure as . but itself not contains a proper subgraph .. with the same property too. The algorithm uses depth-first search and two graph transformations preserving the transitive closure to achieve a time bound of .(. + .), where . stands for the number of vertices and . is the number of the edges.

逃避现实

On hyperedge replacement and BNLC graph grammars, grammars. This does not hold if the vertex labelling is taken into account. Vice versa hyperedge replacement grammars generate the same languages of simple graphs as . grammars of bounded nonterminal degree. Furthermore the generation of loops and multiple edges by hyperedege replacement grammars is discussed.

NUL

Graph rewriting systems with priorities,lgorithms from classical graph theory, and for algorithms implemented on networks of communicating processors and distributed systems. Moreover, this theory gives an algebraic model which allows us to mathematically prove properties of distributed algorithms.

Latency

Finding a minimal transitive reduction in a strongly connected digraph within linear time,ame transitive closure as . but itself not contains a proper subgraph .. with the same property too. The algorithm uses depth-first search and two graph transformations preserving the transitive closure to achieve a time bound of .(. + .), where . stands for the number of vertices and . is the number of the edges.