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Approximation algorithm

Known as: Absolute performance guarantee, Ρ-approximation algorithm, Relative performance guarantee 
In computer science and operations research, approximation algorithms are algorithms used to find approximate solutions to optimization problems… 
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Papers overview

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Highly Cited
2011
Highly Cited
2011
Discrete optimization problems are everywhere, from traditional operations research planning problems, such as scheduling… 
Highly Cited
2004
Highly Cited
2004
This article presents new results on using a greedy algorithm, orthogonal matching pursuit (OMP), to solve the sparse… 
Highly Cited
2002
Highly Cited
2002
In k-means clustering we are given a set of n data points in d-dimensional space Rd and an integer k, and the problem is to… 
Highly Cited
2001
Highly Cited
2001
Function estimation/approximation is viewed from the perspective of numerical optimization in function space, rather than… 
Review
1997
Review
1997
Approximation algorithms have developed in response to the impossibility of solving a great variety of important optimization… 
Highly Cited
1995
Highly Cited
1995
We present randomized approximation algorithms for the maximum cut (MAX CUT) and maximum 2-satisfiability (MAX 2SAT) problems… 
Highly Cited
1993
Highly Cited
1993
The generalized assignment problem can be viewed as the following problem of scheduling parallel machines with costs. Each job is… 
Highly Cited
1983
Highly Cited
1983
  • B. S. Baker
  • 1983
  • Corpus ID: 9706753
This paper describes a general technique that can be used to obtain approximation algorithms for various NP-complete problems on… 
Highly Cited
1973
Highly Cited
1973
Simple, polynomial-time, heuristic algorithms for finding approximate solutions to various polynomial complete optimization… 
Highly Cited
1973
Highly Cited
1973
This study presents the conditions of applicability of stochastic approximation algorithms that minimize a mean-square error…