I am working on a small project in Java described below: Input:List of objects for directed graph. ( Nodes with different kind of edges: inheritance, inner-class, friend classes,etc. )
I encountered many problems that can be formulated as graph problem. It is in general NP-hard but sometimes the graph can be proved to be planar.
I want to generate random points in a 2D space, this points will be nodes of a planar graph (built using Gabriel graph algorithm or RNG ).
I\'ve got a hometask : To make the visu开发者_Python百科alizer of planar graph embedding (or laying I don\'t know a correct word for this process).
I have a graph G which consists only of star graphs.A star graph consists of one central node having edges to every other node in it.Let H1, H2,…,Hn be different star graphs of different sizes
G is a planar graph with n nodes. What are the complexity of following problems? A: Does G contain a m-cycle? (m开发者_开发问答-cycle is a simple cycle with m nodes, m
Is there a popular algorithm for the planarization of a non-planar graph. I\'m currently planning to implement a Orthogonal Planar Layout algorithm for undirected graphs in Boost ( Boost Graph Librar
What is the most efficient way to generate a large (~ 300k vertices) random planar 开发者_JS百科graph (\"random\" here means uniformly distributed)?Have you looked at Boltzmann sampling? See the paper
I have relatively small (40-80 nodes) cubic (3-regular) planar graphs, and I have to decide their Hamiltonicity. I am aware of the fact that this task is 开发者_运维问答NP-complete, but I hope for asy
What are some edge overlap minimization techniques when laying out a graph? (Preferably related to GraphViz) Also are there any existing software that can layout a graph in开发者_StackOverflow社区 a p
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