A message from our CEO about the future of Stack Overflow and Stack Exchange. Read now.

Questions tagged [approximation]

Questions about algorithms that solve problems up to some bounded error.

Filter by
Sorted by
Tagged with
0
votes
1answer
35 views

Calculating match % and ranking according to that

I'm creating a website like where users will answer some yes/no questions set by me, up to them how many of those questions they want to answer. After a user submits his answer(s), he will be shown ...
0
votes
0answers
39 views

A variant of the knapsack problem

Consider the following variant for the knapsack problem: the input are disjoint sets of items $ T_1, T_2, ..., T_m$ (each contains items of a different type). Every item $i$ has a value of $v_i$ and a ...
-1
votes
0answers
114 views

Number of executions of the algorithm with probability about graphs

Consider an undirected graph $G = (V, E)$ representing the social network of friendship/trust between students. We would like to form teams of three students that know each other. The question is to ...
8
votes
0answers
88 views

Compute the expected size of an approximation of vertex cover

Consider the following randomized approximation algorithm of vertex cover: Input: A graph G = (V, E). Output: A set $C_G \subseteq V$ a vertex cover of $G$. The algorithm: Set $C_G := \emptyset$. ...
1
vote
1answer
536 views

Derandomization of vertex cover algorithm

I have the following randomized-algorithm for the vertex cover problem. Let $B_0$ be the output set: Fix some order $e_1, e_2,...,e_m$ over all edges in the edge set E of G, and set $B_0=∅$. Add to ...
1
vote
1answer
57 views

Integrality gap and LP-rounding

I have a doubt about integrality gap. If I know that there is no integrality gap for a given problem, i.e.: $$\frac{\mathrm{OPT}(\mathrm{ILP})}{\mathrm{OPT}(\mathrm{LP})} = 1 \text{ (right?)},$$ ...
2
votes
0answers
32 views

Estimating number of points in 1D space

There are some arbitrary-chosen points in 1D space. What needs to be found is the approximate number of them without counting all of them. It is possible to choose some coordinates (numbers) and for ...
0
votes
0answers
56 views

Doubt on integrality gap and LP relaxation

I have an exercise that tells me that, given a problem P (of which now I omit the description) there is no integrality gap between LP and ILP formulation of this problem, and for every fractional LP-...
8
votes
0answers
161 views

2D interval scheduling problem

Suppose I give you $n$ axis-aligned rectangles with a specified width, height, and x-position (of the left edge) $\{(w_i, h_i, x_i) \mid i \in \{0, \ldots, n - 1\}\}$, as well as a bound $(y_\mathrm{...
9
votes
2answers
177 views

Prove that the 2-approximation of a modified local search algorithm for max-cut is tight

Consider the following local search approximation algorithm for the unweighted max cut problem: start with an arbitrary partition of the vertices of the given graph $G = (V,E) $, and as long as you ...
1
vote
0answers
17 views

ln(n) + 1 Approximation for Set Cover constructions

Set Cover Problem: Given a set $X$ and a collection of subsets $S_1, S_2, \ldots S_m \subseteq S$, we want to find the smallest cardinality of a set of $k$ elements $\{i_1, \ldots i_k \}$ such that $\...
4
votes
0answers
72 views

Approximation algorithms for indefinite quadratic form maximization with linear constraints

Consider the following program: \begin{align} \max_x ~& x^TQx \\ \mbox{s.t.} ~& Ax \geq b \end{align} where $Q$ is a symmetric (possibly indefinite) matrix and the inequality is element-wise ...
0
votes
0answers
30 views

A heuristic for finding an edge cycle cover

I am looking to find a minimum list of cycles in a graph such that their union gives the list of all simple cycles in this graph. In the example below, here are 4 simple undirected cycles: 1-2-3, 2-3-...
1
vote
0answers
57 views

Tight analysis for the ration of $1-\frac{1}{e}$ in the unweighted maximum coverage problem

The unweighted maximum coverage problem is defined as follows: Instance: A set $E = \{e_1,...,e_n\}$ and $m$ subsets of $E$, $S = \{S_1,...,S_m\}$. Objective: find a subset $S' \subseteq S$ such ...
1
vote
1answer
26 views

Reductions from non decision problems

I want to show a minimization problem $Y$ has no approximation factor of 1.36. To be more specific the problem $Y$ is the exemplar distance problem between two genomes. Could I reduce from the min ...
3
votes
0answers
33 views

Approximate algorithms for class P problems

As a part of my Algorithm course we studied Approximate Algorithms for NP-complete or NP-hard problems, e.g. "set cover", "vertex cover", "load balancing", etc. My professor asked us as an extra ...
3
votes
0answers
23 views

Rearrange items in order reduce fragmentation and reduce wasted space

I have a segment with some offsets at irregular intervals There are items of various length inside. Items cannot be placed randomly. Instead, their left side must match some offset. Items are free ...
0
votes
0answers
11 views

What are some counter examples for Load balancing problem?

I learnt about load balancing problem under approximate algorithms. I am learning about it, and studying methods to counter part it's non -solvability under P time. I am quite out of my examples, and ...
1
vote
0answers
24 views

Randomized version of the class $APX$?

Is there a class which is to APX what BPP is to P? I'm looking for a definition that is like the following: "For $r > 0$, an $r$-RPCA (randomized polynomial-time constant-factor approximation) ...
3
votes
1answer
75 views

Optimal solution for Weighted points problem

Problem: Fix a constant $k$. Given a set of $2d$-dimensional points $N = \{N_1, N_2, N_3, \dots, N_n\}$, each associated with an arbitrary weight, find a set of points $X = \{X_1, X_2, X_3, \dots, ...
1
vote
0answers
36 views

About Steiner tree problem in graphs

In the paper (p. 3) and the slides presents the formulation of the Steiner problem on graphs via so called Steiner cuts. But according to the definition, the number of Steiner cuts and so the ...
1
vote
2answers
65 views

Can non-metric TSP be approximated within some non-constant value?

It is known that metric TSP can be approximated within some constant value, such as 3/2 through Christofides' algorithm. It is also known that non-metric TSP cannot be approximated within some ...
0
votes
0answers
29 views

Greedy algorithm for feedback vertex set / greedy algorithms vs local ratio in general

A greedy algorithm for finding a minimum feedback vertex set is to pick and remove a vertex with minimum $w(v)/\delta_H(v)$, where $H$ is the current graph, until there are no more cycles left. (...
0
votes
0answers
34 views

What is the approximation for odd cycle transversal?

What is the best approximation for odd cycle transversal? (on general graphs) Sorry if this is easily found everything I found about odd cycles is about paramaterized complexity and kernels
0
votes
0answers
14 views

Algorithmic question: distribute balls, optimise for balancing (i) weights (ii) probabilities of picking balls

I have an algorithmic problem that requires some lengthy explanation, which follows below. tl;dr: distribute balls with weights among bags, optimise for balancing both (i) the weights between the ...
2
votes
1answer
23 views

How to use c-gap problems to prove inapproximability?

Suppose there is a specific set function with some properties - $f=2^V\to \mathcal{R}$. It is known that the following problem is NP-Hard: Find $S\subseteq V, |S|\leq k$ such that $f(S)$ is maximized....
3
votes
1answer
26 views

Hardness of approximation statement clarification?

In the paper I'm reading, there is a hardness of approximation result for an algorithm proved using a reduction to set cover. Roughly, the claim states that if there existed an algorithm that solved ...
0
votes
1answer
72 views

Difference Between PTAS and FPTAS [duplicate]

According to this link: Polynomial Time Approximation Scheme (PTAS) is a type of approximate algorithms that provide user to control over accuracy which is a desirable feature. These algorithms ...
3
votes
1answer
48 views

Is this variation of set-cover NP-hard to approximate?

The classic set-cover problem is described as follows: Let $S = \{s_1, ..., s_n\}$ be a target set, and let $\Lambda = \{A_1, ..., A_m: A_i \subset S\}$ be a collection of subsets of $S$. The ...
4
votes
0answers
60 views

Peculiar MCMC sampling problem

I have two random variables, X and Y, and Y is a positive real number. I can sample from $p(y|x)$, but I need to sample from $p(x)$, which I know to be proportional to $\frac 1 {E[y|x]}$. I could ...
3
votes
0answers
53 views

Alternative criterion for approximate maximum-weight perfect matching algorithms [closed]

Is there any literature on approximate maximum-weight perfect matchings where the approximation criterion is not the factor between the approximate and exact weight sum achieved by each solution, but ...
1
vote
1answer
54 views

Analysis of an approximation claim

Consider the load balancing problem on two machines. Thus we want to distribute a set of $n$ jobs with processing times $t_1,...,t_n$ over two machines such that the makespan (maximum of the ...
1
vote
0answers
40 views

An LP with two covering constraints - how to round

I came across an LP with two covering problems, and I wonder how to find a good approximation. For the relevant part of the LP: We have a set $E$ , for each $e\in E$ we have a corresponding set $Y_{e}\...
3
votes
1answer
31 views

Non-existence of approximation algorithm for the knapsack problem

I am working on the following exercise: Prove that if $P \neq NP$, there cannot exist an approximation algorithm $A$ for the knapsack problem (KP) such that $\exists k \in \mathbb{N}, \forall I \in S: ...
4
votes
0answers
56 views

Randomized algorithm to compute cover radius?

I am self-study the book "Geometric Approximation Algorithms" by Sariel Har-Peled. And I stuck on a problem and don't know how to start it. Let $C$ and $P$ be two sets of point in the plane , such ...
0
votes
1answer
43 views

What are the current state of art approximation algorithm for NP-Hard problems? [closed]

I came cross some works try to use deep learning to approximate NP-Hard https://arxiv.org/pdf/1810.10659.pdf Though the paper seems to have very good results but based on the citations. I'm quit ...
2
votes
1answer
41 views

Shortest hamiltonian path for different dimension points

The shortest Hamiltonian path (solution) for a set of points in $\mathbb{R}^k$ (in Euclidean space) changes subject to $k$. For example if for $k=1$, the shortest Hamiltonian path will be the sorted ...
2
votes
1answer
52 views

What is an approximation factor for the Greedy Motif Search algorithm?

What is approximation factor for the Greedy Motif Search algorithm? I couldn't find an answer to my question except for the fact that the algorithm has a unknown aproximation factor. I'm not a native ...
3
votes
1answer
59 views

Is there an algorithm to overapproximate a context free grammar by a regular expression?

I understand that a context-free grammar is strictly powerful than a regular expression in that a context free grammar can represent any regular language, but not all context free languages can be ...
4
votes
1answer
70 views

MAXSAT approximation

We have been studying a 1/2-approximation for MAXSAT which runs in expected polynomial time, by randomly assigning True/False to each variable and repeating until we reach an assignment with at least ...
0
votes
0answers
61 views

Definition of unbounded approximation ratio

Suppose that there is a specific instance of a graph for which the approximation ratio of an algorithm polynomially increases with the number of nodes of the graph, say the approximation ratio is $n^2$...
0
votes
0answers
37 views

Weighted-Set Cover Approximation

So in the weighted-set cover problem, I need to determine the minimum weight cover. My algorithm calculates the efficiency for each set: ...
3
votes
1answer
38 views

Algorithm to pick elements in one array that sum to a setpoint, and corresponding elements in other array to average to a setpoint?

Note: The input file is an excel file. However, I am only looking for help with the algorithm as I can then code it in VBA. I need to scan both columns (shown below) to find any number of column 1 ...
-1
votes
2answers
384 views

Vertex cover of bipartite graph

A vertex cover is a set of vertices such that each edge of the graph is incident to at least one vertex of the set. A minimum vertex cover is a vertex cover with minimal cardinality. From codeforces, ...
1
vote
0answers
42 views

Delivering to two or more locations in one go while respecting deadlines?

Assume that I have a business where people can place product orders. Each order must be delivered within a time limit, say $x$ minutes. I need 15 minutes to make each product. However, multiple ...
3
votes
1answer
57 views

Clarification on NP-hardness and hardness of approximation results for set cover?

I'm not familiar with complexity theory at all so please correct me if I make any incorrect statements. I am wondering what is the hard case of set cover? My understanding of NP-hardness is that it ...
2
votes
1answer
112 views

Approximation algorithm for weighted set cover, using multiplicative weights

It is known that the problem of fractional set cover can be rephrased as a linear programming problem and be approximated using the multiplicative weights method, for instance this lecture note shows ...
1
vote
1answer
87 views

Approximation ratio of greedy algorithm for makespan

In the course notes for Stanford MS&E-319: https://web.stanford.edu/class/msande319/lec1.pdf Lemma 5 is given as: The approximation factor of the modified greedy [scheduling] algorithm is 4/3. ...
1
vote
1answer
81 views

Job scheduling approximation

In the course notes for Stanford MS&E-319: https://web.stanford.edu/class/msande319/lec1.pdf Lemma 5 is given as: The approximation factor of the modified greedy [scheduling] algorithm is 4/3....
0
votes
1answer
41 views

invariant of bin packing

We are given an array of integers and a number K. We need to pack these integers into bins. The condition is that we have to use exactly K number of bins and each bin should have equal capacity. We ...