directed-graph

Tarjan's strongly-connected components algorithm - why index in the back edge?

无人久伴 提交于 2021-02-04 18:08:11
问题 I'm studying Tarjan's algorithm for strongly-connected components and the way it works is clear to me. Anyway there's a line I don't understand: // Consider successors of v for each (v, w) in E do if (w.index is undefined) then // Successor w has not yet been visited; recurse on it strongconnect(w) v.lowlink := min(v.lowlink, w.lowlink) else if (w.onStack) then // Successor w is in stack S and hence in the current SCC v.lowlink := min(v.lowlink, w.index) // ************* end if end for I

Tarjan's strongly-connected components algorithm - why index in the back edge?

随声附和 提交于 2021-02-04 18:05:48
问题 I'm studying Tarjan's algorithm for strongly-connected components and the way it works is clear to me. Anyway there's a line I don't understand: // Consider successors of v for each (v, w) in E do if (w.index is undefined) then // Successor w has not yet been visited; recurse on it strongconnect(w) v.lowlink := min(v.lowlink, w.lowlink) else if (w.onStack) then // Successor w is in stack S and hence in the current SCC v.lowlink := min(v.lowlink, w.index) // ************* end if end for I

Reproduce same graph in NetworkX

笑着哭i 提交于 2021-01-27 19:13:42
问题 I would like to improve my graph. There are problems as follow: how to create a consistent graph.the graph itself is not consistent everytime i execute / run the code, it will generate different images. The inconsistent graph is shown in the url. how to customize the whole graph / picture size and to make it bigger how to set a permanent position for an object 'a' so that it will consistently appears at the first / top position how to customize length of arrow for each relationship.

Directed probability graph - algorithm to reduce cycles?

早过忘川 提交于 2020-08-22 05:00:19
问题 Consider a directed graph which is traversed from first node 1 to some final nodes (which have no more outgoing edges). Each edge in the graph has a probability associated with it. Summing up the probabilities to take each possible path towards all possible final nodes returns 1 . (Which means, we are guaranteed to arrive at one of the final nodes eventually.) The problem would be simple if loops in the graph would not exist. Unfortunately rather convoluted loops can arise in the graph, which

Directed probability graph - algorithm to reduce cycles?

混江龙づ霸主 提交于 2020-08-22 04:59:43
问题 Consider a directed graph which is traversed from first node 1 to some final nodes (which have no more outgoing edges). Each edge in the graph has a probability associated with it. Summing up the probabilities to take each possible path towards all possible final nodes returns 1 . (Which means, we are guaranteed to arrive at one of the final nodes eventually.) The problem would be simple if loops in the graph would not exist. Unfortunately rather convoluted loops can arise in the graph, which