All Questions
17 questions
0votes
1answer
65views
Set cover where consecutive sets differ by at most one item [closed]
First I define my version of the set cover problem: We have a collection of sets such as $S_1, \dots, S_m$ where each $S_i$ is a subset of $M=\{1,\dots, m\}$. The goal is to find the minimum number of ...
2votes
1answer
140views
Do there exist two equivalent objective functions one of which can be approximated but another one cannot?
I have two equivalent problems A and B, meaning that the optimal solution of one must be the optimal solution of another one. However, it seems that problem A can be approximated but B cannot. Below ...
4votes
1answer
2kviews
Maximizing a monotone supermodular function s.t. cardinality
I've tried to comb the literature and seen a lot of references to results that almost but don't quite seem to address this. Question: Is it known to be true or is there a hardness result ...
5votes
0answers
247views
Maximizing the number of selected edges with opposing requirements
Consider the following problem: Input: a complete bipartite graph $G$ with its edges colored either white or black, a number $k$. Output: a subset of vertices $W$ of size $k$ which maximizes the ...
0votes
0answers
33views
On approx-preserving P- and A-reducibilities
Let $X$ and $Y$ be two NPO problems. Let $(f,g)$ be a reduction between $X$ and $Y$, in particular, assume that $(f,g)$ is both P-reduction and A-reduction, i.e., there exist two poly-time ...
3votes
2answers
438views
Set packing with maximum coverage objective
We are given a universe $\mathcal{U}=\{e_1,..,e_n\}$ and a set of subsets $\mathcal{S}=\{s_1,s_2,...,s_m\}\subseteq 2^\mathcal{U}$. Set-Packing asks how many disjoint sets we can pack, and is defined ...
4votes
1answer
225views
Algorithms for Interval Coloring with Capacities and Demands
We are given a graph $G = (V,E)$, where each edge $e \in E$ has a capacity $c_e$. There are a set of $k$ requests $R_1,\ldots,R_k$. Request $R_i$ has a demand $d_i$, and has an interval $I_i = [s_i,...
8votes
0answers
180views
Is the dominating set problem constant-factor-approximable in undirected path graphs?
I am interested in the complexity of the minimum dominating set problem (MDSP) in some specific graph class. A graph is an undirected path graph if it is the vertex-intersection graph of a family of ...
8votes
0answers
889views
Approximation results for 3-partition
The 3-partition as defined here is a strongly NP-complete decision problem. Consider one optimization problem of 3-partition where the $m$ subsets each have at most three elements and a sum of not ...
9votes
2answers
3kviews
What are good approximation algorithms for the subset sum problem so far?
By "good", I mean either the algorithm provides a relatively tight bound or it has a relatively fast running time. Any reference is welcome.
8votes
1answer
282views
Request for references on multicommodity flow-cut results
This is a somewhat subjective question. I am interested in studying the literature on multicommodity flow-cut results, especially the 'positive' results which show that flow is a good approximation to ...
2votes
1answer
243views
Connectivity Problem
Hi. I have a problem but not sure if there is some literature on it or whether it has a standard name. Please let me know some reference from where I can begin. Given undirected graph along with some ...
2votes
1answer
313views
Explain 0-extension algorithm
I'm trying to implement an approximation algorithm for the 0-extension problem I found the following paper: Approximation Algorithms for the 0-extension problem by Gruia Calinescu, Howard ...
29votes
4answers
1kviews
Compendium of the Best Approximation and Hardness Results for NP optimization problems
Do you know any up-to-date wiki dedicated to NP optimization problems with their best approximation and hardness result? Based on the feedback, it seems that it is safe to assume there is not such a ...
17votes
3answers
537views
Why differential approximation ratios are not well-studied comparing to standard ones despite of their claimed benefits?
There is a standard approximation theory where the approximation ratio is $\sup\frac{A}{OPT}$ (for problems with $MIN$ objectives), $A$ - the value returned by some algorithm $A$ and $OPT$ - an ...