Questions about graphs in which every edge is associated with a weight.

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0
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1answer
21 views

Generate random weighted graphs representing a road network

in order to solve a DARP problem I created a Python class, that can generate random graphs. I attribute a random number to every edge which represents the cost to travel over that edge. My current ...
2
votes
1answer
81 views

What is a weighted or probabilistic automaton?

I'm developing a program that has some entities (things) that are "classified" according to "relevancy". Sort of like search engine (think PageRank). Therefore, I'm looking to implement an automaton, ...
1
vote
0answers
20 views

Branch clustering for an MST

I am working in image segmentation with super pixels. My data is a large matrix describing various attributes of each stick of pixels (such as height, width and disparity). The data comes from an ...
4
votes
1answer
48 views

All pairwise shortest paths in a graph: does knowing the path weights help?

This question concerns the all-pairs shortest paths (APSP) problem (where we are given a graph with edge $(i,j)$ given weight $w_{i,j}$ by the distances between the two nodes $i$ and $j$, and where we ...
6
votes
2answers
146 views

How to impose Euclidean distance constraint in a constraint satisfaction problem without quadratic constraints?

Best reference I could find is this one. However, I could not quite understand this one since there is no numerical example. What I am trying to achieve with one sentence How can I answer the ...
2
votes
2answers
52 views

Directed cyclic graph with node rewards and arc costs

The problem I have seems fairly simple and I feel it must have some kind of name. I have a (directed cyclic) graph. Each node has an associated reward for visiting it, and each arc costs a certain ...
7
votes
0answers
143 views

Minimum edge deletion partitioning of a planar graph

I'm interested in the time complexity of the following problem: Given an undirected planar graph $G=(V,E)$ and a weight function $w:E \rightarrow \mathbb{Z}$ (so weights can be negative, too), color ...
2
votes
1answer
94 views

Improve minimum spanning tree with new edge, with better running time than O(|V|)?

The problem gives a MST $T$ and a series of $Q$ queries, each one with a new edge $e = \{u,v\}$ such that no edge between $u$ and $v$ exists in $T$. For every query, we have to improve $T$ with $e$ ...
2
votes
0answers
75 views

Assigning edge weights under shortest path constraints

We are given a graph $G = (V,E)$ and we need to find an assignment of non-negative edge weights (You must give every edge a non-negative weight). We are also given a set $R\subseteq V$ and mapping ...
0
votes
2answers
70 views

Existence of shortest path in a graph with no negative cycles?

Suppose that the input graph $G$ does not have any negative cycles but however it is permitted to contain edges having negative weight. Let $s$ be the source vertex. How do I prove that for every ...
1
vote
1answer
47 views

Removing edges of a weighted graph

I have an edge weighted $N{\times}N$ graph and the edge similarity values are bound to $[0,1]$. What I am trying to do is to find a cut-off threshold below which I can say that that edges are noisy/ ...
2
votes
1answer
174 views

SimRank on a weighted directed graph (how to calculate node similarity)

I have a weighted directed graph (it's sparse, 35,000 nodes and 19 million edges) and would like to calculate similarity scores for pairs of nodes. SimRank would be ideal for this purpose, except that ...
1
vote
1answer
440 views

Computing the k shortest edge-disjoint paths on a weighted graph

Looking for k shortest paths that do not share edges. i.e if the paths were represented as sets of edges, their intersection has to be empty. We could use Dijkstra to find the 1st "disjoint" (edge ...
0
votes
2answers
249 views

Why is T not a minimum spanning tree of G?

The Problem: Let T be a tree constructed by Dijkstra's algorithm in the process of solving the single source shortest-paths problem for a weighted connected graph G.    a. True of ...
1
vote
1answer
109 views

How to draw a graph to disprove this statement?

The Problem: Indicate whether the following statements are true or false: a. If e is a minimum-weight edge in a connected weighted graph, it must be among edges of at least one minimum ...
2
votes
1answer
276 views

Updating an MST $T$ when the weight of an edge not in $T$ is decreased

Given an undirected, connected, weighted graph $G = (V,E,w)$ where $w$ is the weight function $w: E \to \mathbb{R}$ and a minimum spanning tree (MST) $T$ of $G$. Now we decrease the weight by $k$ ...
4
votes
1answer
55 views

How are graph representations containing only (i, j) instead of both (i, j) and (j, i) named?

When working with undirected graph algorithms using an adjacency-list type structure, it's sometimes enough to store a given edge (i, j) just stored in the list of ...
-1
votes
1answer
23 views

Checking a property of all of the cycles in a graph

Suppose $G= (V,E)$ is a directed graph with weights on the edges. I would like to check if $G$ has the following property: if $C \subset E$ is the set of edges in a cycle of length at least $3$, then ...
1
vote
2answers
126 views

Path optimization in a DAG: maximizing number of least cost arcs

I've got the following problem. I've a graph $G=(V,E)$ as in the picture and I have to calculate the optimal path from $R$ to $S$. The optimal path has to maximize the number of least cost arcs. In ...
0
votes
0answers
16 views

Finding next lightest path [duplicate]

Using Dijkstra algorithm, how can I find the next shortest path in a directed weighted graph? (When saying next, I mean that the next path must be heavier than the lightest path and not equal). The ...
3
votes
1answer
37 views

Seemingly non sequitur in proof

I'm trying to understand a small proof in an article about computing lumpability on Markov chains. There is a small detail that I cannot understand, i.e. I don't think it follows from the argument. ...
2
votes
2answers
160 views

Covering a graph with non-overlapping cliques

I have a problem where I need to split a graph into subgraphs. The conditions for the splitting is as follows: Every subgraph must be a complete graph/clique No vertex can be part of two or more ...
1
vote
1answer
267 views

Proof for variation of Prim's and Kruskal's to find maximum-weight acyclic subgraph

I have been scratching my head to find good counter examples to the following problem: Suppose we are given a directed graph G=(V,E) in which every edge has a distinct positive edge weight. A ...
8
votes
2answers
2k views

What are Markov chains?

I'm currently reading some papers about Markov chain lumping and I'm failing to see the difference between a Markov chain and a plain directed weighted graph. For example in the article Optimal ...
0
votes
1answer
97 views

Is it possible to convert a graph with one negative capacity to a graph with only positive capacities?

I am interested in whether a graph (say, a complete graph) with one capacity negative (or many, but one should suffice) can be reconstructed as a graph with all non-negative capacities where the max ...
0
votes
0answers
44 views

Minimal connected subgraph containing 4 specific vertecies

Let $G$ be an undirected weighted connected graph with non-negative weights on the edges, and let $v_1, v_2, v_3, v_4$ be 4 vertecies in $V[G]$. The goal: find a connected subgraph of $G$ with ...
0
votes
1answer
79 views

Reweight general weighted graph to distinct graph for using Borůvka's

Is it possible to re-weight a generally-weighted graph to a distinctly-weighted graph to apply Borůvka's algorithm (wiki) for minimum spanning tree to it? I can't seem to think of a way to make a ...
-1
votes
1answer
45 views

Limiting capacity of knapsack to a polynomial function of elements in the Knapsack problem

I saw somewhere that if we limit the capacity (weight) of the knapsack to a polynomial function of elements then the class of the problem changes to P, but it didn't say why. I can't figure out why is ...
3
votes
0answers
567 views

Applications of min spanning trees

What are the significant applications of minimum spanning trees? After doing some research online and in several textbooks, I have found three real-world applications: Building a connected network. ...
2
votes
1answer
64 views

Choice of algorithm for hierarchical clustering for minimizing network communication costs

Suppose I have a large distributed task running on a cluster system where part of the workload is compute bound and part depends on network performance. Data transfer is not completely homogeneous ...
2
votes
0answers
103 views

What is a semantic cognitive map

Based on: J. P. Carvalho, "On the Semantics and the Use of Fuzzy Cognitive Maps in Social Sciences" (WCCI, 2010 -- PDF) and Richard Dagan's web page Cognitive Mapping. A cognitive map consists of ...
5
votes
2answers
326 views

Adding a node between two others, minimizing its maximum distance to any other node

We are given an undirected graph weighted with positive arc lengths and a distinguished edge $(a,b)$ in the graph. The problem is to replace this edge by two edges $(a,c)$ and $(c,b)$ where $c$ is a ...
0
votes
2answers
1k views

Maximum length path between any two nodes in a tree with possible negative edge weights

Is there an efficient way to find the longest path between any two nodes in a tree. Given that edges can have negative weights. I know about the diameter problem which finds the longest path in a ...
0
votes
0answers
122 views

Proof of shortest-paths optimality conditions

I am struggling with understanding the proof of shortest-paths optimality conditions. Let $G$ be an edge-weighted digraph. Then values in $distTo[]$ are the shortest path distances from $s$ iff: ...
2
votes
1answer
52 views

Is traversing an unconnected graph possible?

I have been assigned a fun project: design and implement a program that maintains the data of a simple social network. Each person in the network should have a profile that contains his name, current ...
1
vote
1answer
77 views

Using Dijkstra to find shortest path in relation to two weight functions?

I'm given a graph and two weight functions, $w_1$ and $w_2$, such that there doesn't exist a negative loop in the graph in $w_1$ and $w_2$. I'm also given two vertices, $s$ and $t$, and am asked to ...
2
votes
1answer
255 views

Shortest directed path connecting given subset of vertices

Given weighted directed graph $G = (V,E,w)$, where $w : E \to \mathbb R^+$ source vertex $v \in V$ vertex subset $U \subset V$ how to find a shortest directed path from $v$ containing all vertices ...
1
vote
0answers
193 views

Algorithm to determine a minimal cost graph [closed]

I'm trying to solve this problem: Given a collection of cities and the number of commuters between cities, design a network of roads for minimal cost where cost includes the cost of building the ...
17
votes
1answer
9k views

Why does Dijkstra's algorithm fail on a negative weighted graphs?

I know this is probably very basic, I just can't wrap my head around it. We recently studied about Dijkstra's algorithm for finding the shortest path between two vertices on a weighted graph. My ...
1
vote
2answers
2k views

Dijkstra's algorithm for edge weights in range 0, …, W

Suppose I want to run Dijkstra's algorithm on a graph whose edge weights are integers in the range 0, ..., W, where W is a relatively small number. How can I modify that algorithm so that it takes ...
0
votes
1answer
468 views

Calculating the number of non-intersecting routes in an Euclidean graph

I have an Euclidean graph: each vertex is a point on the 2D plane, so the weight of each edge is the Euclidean distance between the vertices. I found a geometric proof that every optimal TSP solution ...
2
votes
0answers
145 views

Is there a relationship between graph entropy and node entropy?

Eagle, et al [1] discuss the notion of node entropy and this is captured in igraph via the diversity metric. I was wondering if there was any relationship between these node entropies and the idea of ...
-1
votes
1answer
677 views

Efficient way to find intersections

I have an Euclidean graph: each vertex is a point on the 2D plane, so the weight of each edge is the Euclidean distance between the vertices. I am randomly creating a path thru all the vertices and I ...
1
vote
1answer
148 views

Converting graphs to sets of paths

I have an Euclidean, undirected graph: each vertex is a point on the 2D plane, so the weight of each edge is the Euclidean distance between the vertices. The number of vertices with no edges is ...
12
votes
2answers
1k views

Shortest non intersecting path for a graph embedded in a euclidean plane (2D)

What algorithm would you use to find the shortest path of a graph, which is embedded in an euclidean plane, such that the path should not contain any self-intersections (in the embedding)? For ...
4
votes
1answer
3k views

A* to find the longest path in a directed cyclic graph

I have written an A* algorithm to find the shortest path through a directed cyclic graph. I am trying to modify it to find the longest path through the same graph. My attempt was to write it so that ...
5
votes
2answers
4k views

Shortest path that passes through specific node(s)

I am trying to find an efficient solution to my problem. Let's assume that I have positive weighted graph G containing 100 nodes(each node is numbered) and it is an ...
5
votes
1answer
275 views

Dividing a weighted planar graph into $k$ subgraphs with balanced weight

I've been looking for an algorithm which divides an undirected, weighted, planar and simple graph into $k$ disjoint subgraphs. Here, the graph is sparse, $k$ is fixed, and there are no negative edge ...
2
votes
0answers
628 views

Effect of increasing the capacity of an edge in a flow network with known max flow

I need your help with an exercise on Ford-Fulkerson. Suppose you are given a flow network with capacities $(G,s,t)$ and you are also given the max flow $|f|$ in advance. Now suppose you are ...
2
votes
0answers
75 views

Multicommodity shortest path problem on a directed acyclic graph

I have n commodities with each a unique source and sink node. Each source-sink pair is connected in some manner on a directed acyclic graph. All arc weights are non-negative. The goal is to find the ...