adjacency-list

What is an adjacency list and how do you code one?

你。 提交于 2019-12-05 04:29:25
问题 Here is an SO post of an adjacency list. However I see no difference from a single-linked list? Also here is a wikipedia article which says that it is all the edges (of a graph, discrete math type) in a list which is pretty broad, if I have a graph, which is not a path graph. How do I code an adjacency list? 回答1: A simple example: Suppose you have a vertex type Vertex . They your graph consists of a set of vertices, which you can implement as: std::unordered_set<Vertex> vertices; Now for

adjacency list of a directed weighted graph

僤鯓⒐⒋嵵緔 提交于 2019-12-05 02:53:15
问题 I am using adjacency lists to represent a directed weighted graph and based on the example code provided by this SO question, I have created the following: import java.util.HashMap; import java.util.LinkedHashSet; import java.util.LinkedList; import java.util.Map; import java.util.Set; public class _Graph { private Map<String, LinkedHashSet<HashMap<String, Integer>>> map = new HashMap<String, LinkedHashSet<HashMap<String, Integer>>>(); public void addEdge(String node1, String node2, int dist)

Get path from adjacency list data

落爺英雄遲暮 提交于 2019-12-04 14:23:49
问题 I have an array (data from adjacency table) and it looks like: Array ( [0] => Array ( [id] => 1 [name] => Anniversary [parent] => 0 ) [1] => Array ( [id] => 12 [name] => New arrives [parent] => 1 ) [2] => Array ( [id] => 13 [name] => Discount [parent] => 12 ) [3] => Array ( [id] => 6 [name] => Birthday [parent] => 0 ) ) And I'm looking for the way to retrieve my path by ID; For example: getPath(13): Anniversary->New arrives->Discount; For example: getPath(12): Anniversary->New arrives; For

Inserting elements into 2D vector

試著忘記壹切 提交于 2019-12-04 03:21:48
问题 so I'm creating a class that implements an adjacency list. Currently in my class definition I initialized two vectors: vector<vector<int>> adjList; vector<int> neighbors; and I declared two functions that I plan to use to make it: bool constructAdjList(); bool insertIntoAdjList(int, int); It's getting difficult wrapping my head around 2D vectors. I understand that it is essentially a vector of vectors, but I'm confused about how to insert a new value into one of the "subvectors". For example,

Graph Adjacency List Implementation

自闭症网瘾萝莉.ら 提交于 2019-12-03 22:48:39
I am trying to represent a Graph in Adjacency List using C#, like the code bellow. But I would like to know where I can find a better implementation in C#. Like this website for Java: http://algs4.cs.princeton.edu/41undirected/Graph.java.html In order to improve this implementation I have some question: Is there another simple data structure to use, and that you able to make operations like DFS , BFS , Find the Shortest-path easier ? Or the data structure vary too much according to the problem to be solved ? === EDITED === I've tried to implement the data structure as bellow. OBS : This

Find all nodes in an adjacency list model with oracle connect by

霸气de小男生 提交于 2019-12-03 21:38:52
Given the following model: create table child_parent ( child number(3), parent number(3) ); Given the following data: insert into child_parent values(2,1); insert into child_parent values(3,1); insert into child_parent values(4,2); insert into child_parent values(5,2); insert into child_parent values(6,3); results in the following tree: 1 / \ 2 3 / \ \ 4 5 6 Now i can find the parents of 5 like this: SELECT parent FROM child_parent START WITH child = 5 CONNECT BY NOCYCLE PRIOR parent = child; But how can I get all the nodes (1,2,3,4,5,6) starting from 5? APC Oracle's CONNECT BY syntax is

What is an adjacency list and how do you code one?

做~自己de王妃 提交于 2019-12-03 20:43:07
Here is an SO post of an adjacency list. However I see no difference from a single-linked list? Also here is a wikipedia article which says that it is all the edges (of a graph, discrete math type) in a list which is pretty broad, if I have a graph, which is not a path graph. How do I code an adjacency list? Kerrek SB A simple example: Suppose you have a vertex type Vertex . They your graph consists of a set of vertices, which you can implement as: std::unordered_set<Vertex> vertices; Now for every pair of vertices between which there is an edge in your graph, you need to record that edge. In

How to generate Markov Chain in C#

橙三吉。 提交于 2019-12-03 09:34:51
问题 I want to create this Markov Chain in C#. I need to know if there is any other structure other than adjacency list which can work better in this situation. Also how can I use the existing .Net collection type to implement this. 回答1: QuickGraph is really good general purpose graph library. It has some implementations for walking Markov Chains. I recommend checking out the source code. 来源: https://stackoverflow.com/questions/2781907/how-to-generate-markov-chain-in-c-sharp

Get path from adjacency list data

血红的双手。 提交于 2019-12-03 09:00:08
I have an array (data from adjacency table) and it looks like: Array ( [0] => Array ( [id] => 1 [name] => Anniversary [parent] => 0 ) [1] => Array ( [id] => 12 [name] => New arrives [parent] => 1 ) [2] => Array ( [id] => 13 [name] => Discount [parent] => 12 ) [3] => Array ( [id] => 6 [name] => Birthday [parent] => 0 ) ) And I'm looking for the way to retrieve my path by ID; For example: getPath(13): Anniversary->New arrives->Discount; For example: getPath(12): Anniversary->New arrives; For example: getPath(1): Anniversary; For example: getPath(6): Birthday; How can I do this? Thanks!

What is the most efficient way to determine if a directed graph is singly connected?

佐手、 提交于 2019-12-03 05:46:56
I am working on an assignment where one of the problems asks to derive an algorithm to check if a directed graph G=(V,E) is singly connected (there is at most one simple path from u to v for all distinct vertices u,v of V. Of course you can brute force check it, which is what I'm doing right now, but I want to know if there's a more efficient way. Could anyone point me in the right direction? Have you tried DFS . Run DFS for every vertex in the graph as source If a visited vertex is encountered again, the graph is not singly connected repeat for every unvisited vertex. The graph is singly