vcgdemomaker - produces demo specifications for vcg

vcgdemomaker outfile mode size

Vcgdemomaker creates a vcg specification and writes it to outfile. The mode determines the kind of specification and size the size of the specified graph. The specification can be read and visualized by the VCG tool.

-unarytree

generates an unary tree, i.e. a linear sequence of nodes. size is the number of nodes - 1, i.e. the depth of the tree.

-binarytree

generates a binary tree of depth size. Each node has two successors.

-ternarytree

generates a ternary tree of depth size. Each node has 3 successors.

-leveltree

generates a leveled tree of depth size. Each node has 2 normal successors, and further a list of nodes as successors at the same level to the left and right. These lists contain at most 2 nodes, which itself are leveled trees. These trees are used to check the nearedge feature.

-twolevelcross

generates a cross graph. This is a bipartitioned graph of connected parts of 4 nodes forming a cross. Size is the number of nodes and should be even. This graph is generated in an ugly format to check the algorithm of reducing of crossing in the VCG tool.

-allconnect

generates a graph where all pairs of node form an edge. Size is the number of nodes. Note that if we have n nodes, we have about n*n/2 edges which is a lot. Thus it is recommended not to use this with more than 40 nodes.

-netgraph

generates a regular 4-ary network of triangular shape with about size nodes. This mesh graph can be used to check the capacity of the tool, the view mechanism and the algorithm of reducing of crossing in the VCG tool.

-randomgraph

generates a randomized 4-ary network. Starting from the regular 4-ary network of triangular shape with about size nodes, this network is produced by creating random holes. Thus, this graph has less than size nodes.

-net2graph

generates a regular 4-ary network of rhomboid shape with about size nodes.

-random2graph

generates a randomized 4-ary network. Starting from the regular 4-ary network of rhomboid shape with about size nodes, this network is produced by creating random holes. Thus, this graph has less than size nodes.

vcg(l)

Currently, no bugs are known.

Georg Sander, University of Saarland.