Question:
Given an undirected graph of N nodes and N-1 edges. The length of all edges are 1. Each edge i has a weight of Wi. (0 <= Wi <= 10.000)
The graph is guaranteed to not have any loops. So there's always one (and only) shortest path between 2…
I can determine the topological sort of a directed graph using DFS algorithm. If there are no cycles, I assume the topological order I found is valid. If there is a cycle, I assume the topological order is useless. Am I correct so far?
What about…
so I faced this question and I hope that someone can help me in it.
Given an undirected graph G = (V, E), 2 vertices x,y and an edge e = (v,u).
Suggest an algorithm to find if there's a simple path from x to y that includes the edge e.
So the focus…
INPUT
Undirected graph G with n vertices and an integer k such that k divides n.
The set of all vertices will be denoted by V.
OUTPUT
A set S of sets of vertices such that:
S has k elements
Each element of S is a complete subgraph in G (all…
Given an undirected Graph, how can I find all the bridges? I've only found Tarjan's algorithm which seems rather complicated.
It seems there should be multiple linear time solutions, but I can't find anything.
I am working with a list of edges in R:
data <- structure(list(var1 = c("a", "b", "c", "d", "f", "g", "h"), var2 = c("b",
"c", "a", "e", "g", "h", "i")), class = "data.frame", row.names = c(NA,
-7L))
> data
var1 var2
1 a …
I'm facing an undirected weighted graph problem that I'm sure has been tackled many times, and I'm wondering if it has a name and existing algorithm. Edges represent value I want to capture and maximize, starting from a subgrid and expanding outward…
Given a matrix like the one that follows (but a lot bigger) that describes a weighted undirected graph,
structure(list(from = c("TPM1", "TPM1", "TPM1", "TPM1", "TPM1",
"TPM1", "TPM1", "TPM1", "TPM1", "TPM1", "TPM1", "TPM1", "TPM1",
"TPM1", "TPM1",…
I have a undirected graph given by:
A,B
A,C
A,F
B,D
C,D
C,F
E,D
E,F
And I need to transform this to a matrix N where
N[x,y] = 1 if x is neighbor of y (like A and B) and 0 if not
What is the fastest way to do it?
NOTA The graph is stored as numpy…
I have an undirected graph of N nodes and L links, whose structure is typically described by its adjacency matrix A with N rows and N columns. In this adjacency matrix, the value '1' denotes a link between two nodes and, conversely, '0' denotes no…
I am doing some basic network analysis using networks from the R package "networkdata". To this end, I use the package "igraph" as well as "sna". However, I realised that the results of descriptive network statistics vary depending on the package I…
I have a set of nodes (N=7)
{a, b, c, d, e, f, g}
These nodes form one or more distinct undirected graphs, I want to find the graph with the maximum number of nodes. However, I have a constraint that the complexity can not be more than (N*M) where…
I am trying to implement a graph that contains Vertices(nodes) that relate to a Profile class(like a Facebook profile but more mediocre). Each of the vertices(Profiles) is stored in a Binary Search Tree which is then loaded or stored in an…
I'm having a matrix like the following one
m <- expand.grid(LETTERS[1:24],LETTERS[1:24])
m$weight <- runif(nrow(m), 0.01, max = 1)
m <- m[m$Var1!=m$Var2, ] ##remove loop edges
colnames(m) = c("to","from","weight")
and in this form it describes a…
I am new to C++ STL and have started Graph Theory recently.
After referring to https://www.geeksforgeeks.org/connected-components-in-an-undirected-graph/, I can count the number of connected components in an undirected, unweighted graph using DFS…