shortest-path

Shortest path in JavaScript

与世无争的帅哥 提交于 2019-12-03 12:36:05
I have been searching for weeks for a way to compute shortest paths in JavaScript. I have been playing with the book Data Structures and Algorithms by Groner (aptly named) at https://github.com/loiane/javascript-datastructures-algorithms/tree/master/chapter09 . The trouble I keep on finding is that the code is so customized that it is almost impossible to rewrite to produce the desired results. I would like to be able to get the shortest path from any given vertex to any other, rather than, as Groner codes it, just the list of everything from A. I would like to be able to get, for example, the

Floyd-Warshall: all shortest paths

我与影子孤独终老i 提交于 2019-12-03 12:03:53
问题 I've implemented Floyd-Warshall to return the distance of the shortest path between every pair of nodes/vertices and a single shortest path between each of these pairs. Is there any way to get it to return every shortest path, even when there are multiple paths that are tied for shortest, for every pair of nodes? (I just want to know if I'm wasting my time trying) 回答1: If you just need the count of how many different shortest path exist, you can keep a count array in addition to the

How to find shortest path in dynamic situation

余生长醉 提交于 2019-12-03 11:36:20
Some days ago, Someone ask me, If we have some agents in our environment, and they want go from their sources to their destinations, how we can find the total shortest path for all of them such that they shouldn't have conflict during their walk. The point of problem is all agents simultaneously walking in environment (which can be modeled by undirected weighted graph), and we shouldn't have any collision. I thought about this but I couldn't find optimum path for all of them. But sure there are too many heuristic ideas for this problem. Assume input is graph G(V,E), m agents which are in: S 1

Is there any implementation of bidirectional search for Dijkstra algorithm? [closed]

二次信任 提交于 2019-12-03 09:49:58
问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 3 years ago . I am looking for an implementation of bidirectional search (a.k.a. "meet in the middle" algorithm) for Dijkstra (or any other source-to-destination shortest path algorithm) in Java. As bidirectional search processing is trickier than it looks like (Graph Algorithms, p.26), I want to consider an existing

Finding a shortest path that passes through some arbitrary sequence of nodes?

自闭症网瘾萝莉.ら 提交于 2019-12-03 08:51:17
问题 In this earlier question the OP asked how to find a shortest path in a graph that goes from u to v and also passes through some node w. The accepted answer, which is quite good, was to run Dijkstra's algorithm twice - once to get from u to w and once to get from w to v. This has time complexity equal to two calls to Dijkstra's algorithm, which is O(m + n log n). Now consider a related question - you are given a sequence of nodes u 1 , u 2 , ..., u k and want to find the shortest path from u 1

Will a minimum spanning tree and shortest path tree always share at least one edge?

强颜欢笑 提交于 2019-12-03 06:41:50
I'm studying graph theory and I have a question about the connection between minimum spanning trees and shortest path trees. Let G be an undirected, connected graph where all edges are weighted with different costs . Let T be an MST of G and let T s be a shortest-path tree for some node s . Are T and T s guaranteed to share at least one edge? I believe this is not always true, but I can't find a counterexample. Does anyone have a suggestion on how to find a counterexample? I think that this statement is actually true , so I doubt you can find a counterexample. Here's a hint - take any node in

Dijkstra shortest path algorithm with edge cost

血红的双手。 提交于 2019-12-03 06:28:17
I have a directed, positive weighted graph. Each edge have a cost of use. I have only A money, i want to calculate shortest paths with dijkstra algorithm, but sum of edges costs on route must be less or equal to A. I want to do this with most smallest Dijstra modification (if I can do it with small modification of Dijkstra). I must do this in O(n*log(n)) if I can, but i think i can. Anyone can help me with this? IVlad https://www.spoj.pl/problems/ROADS/ The problem was given at CEOI '98 and its official solution can be found here . You don't really need to modify Dijkstra's algorithm to do

How do you use a Bidirectional BFS to find the shortest path?

[亡魂溺海] 提交于 2019-12-03 06:02:50
问题 How do you use a Bidirectional BFS to find the shortest path? Let's say there is a 6x6 grid. The start point is in (0,5) and the end point is in (4,1). What is the shortest path using bidirectional bfs? There are no path costs. And it is undirected. 回答1: How does Bi-directional BFS work? Simultaneously run two BFS's from both source and target vertices, terminating once a vertex common to both runs is discovered. This vertex will be halfway between the source and the target. Why is it better

Efficient Path finding algorithm avoiding zigzag's [duplicate]

大兔子大兔子 提交于 2019-12-03 04:53:43
问题 This question already has answers here : Pathfinding - A* with least turns (2 answers) Closed 5 years ago . I am developing a software which connects objects with wires. This wiring has a rule that these wires cannot pass on other objects and no diagonal move is accepted. All of the shortest path algorithms that i know (A*, dijkstra etc.) find this type of paths: I do not want the unnecessary zigzags in the second screenshot. How do i achive this goal? Note: Anyone who want to try the

What is meant by diameter of a network?

≡放荡痞女 提交于 2019-12-03 03:15:50
问题 The diagram shown on this link of the " A graph with 6 vertices and 7 edges where the vertex no 6 on the far-left is a leaf vertex or a pendant vertex. " has DIAMETER 4? right or wrong? Definitions are The diameter of a graph is the maximum eccentricity of any vertex in the graph. That is, it is the greatest distance between any pair of vertices. To find the diameter of a graph, first find the shortest path between each pair of vertices. The greatest length of any of these paths is the