An improved lower bound on approximation algorithms for the ...
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Jun 30, 2008 · The Closest Substring problem (the CSP problem) is a basic NP-hard problem in the study of computational biology.
The Closest Substring problem (the CSP problem) is a basic NP-hard problem in the study of computational biology. It is known that the problem has ...
The Closest Substring problem (CSP), where a short string is sought that minimizes the number of mismatches between it and each of a given set of strings, ...
People also ask
What is an example of an approximation algorithm?
A simple example of an approximation algorithm is one for the minimum vertex cover problem, where the goal is to choose the smallest set of vertices such that every edge in the input graph contains at least one chosen vertex.
What is the 2-approximation algorithm?
For example, if the ratio is 2 we have a 2-approximation algorithm, meaning it gives solutions that never cost more than twice that of optimal if it is a minimization problem, or never provide less than half the optimal value if it is a maximization problem.
What is an approximation algorithm for optimization problems?
Informally, an algorithm approx- imately solves an optimization problem if it always returns a feasible solution whose measure is close to optimal, for example within a factor bounded by a constant or by a slowly growing function of the input size.
What is the NP approximation algorithm?
An approximation algorithm is a way of dealing with NP-completeness for an optimization problem. This technique does not guarantee the best solution. The goal of the approximation algorithm is to come as close as possible to the optimal solution in polynomial time.
TL;DR: A new algorithm for the Closest String Problem is proposed, based on a Greedy Randomized Adaptive Search Procedure and a novel probabilistic heuristic ...
Abstract. In the Closest String problem one is given a family S of equal-length strings over some fixed alphabet, and the task is to find a string y that ...
The Closest Substring problem (CSP), where a short string is sought that minimizes the number of mismatches between it and each of a given set of strings, ...
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The solution to such an LP is a lower bound on the true binary minimum. We say, an LP relaxation A is weakly stronger than an LP relaxation B if its optimal ...
A Closer Look at the Closest String and Closest Substring Problem ... An improved lower bound on approximation algorithms for the Closest Substring problem.
Abstract. The closest substring problem, where a short string is sought that minimizes the number of mismatches between it and.
Abstract. In this paper we consider the problem of finding the ap- proximate nearest neighbor when the data set points are the substrings of a given text T.