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Operations research / Combinatorial optimization / Relaxation / Convex optimization / Linear programming relaxation / Linear programming / Knapsack problem / Randomized algorithm / Lagrangian relaxation / Mathematical optimization / Theoretical computer science / Applied mathematics


Constant Factor Approximation Algorithm for the Knapsack Median Problem Amit Kumar Abstract We give a constant factor approximation algorithm for
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Document Date: 2011-09-29 14:25:56


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local search algorithm / latter algorithm / local search techniques / good integral solution / vertex solutions / constant-factor approximation algorithm / combinatorial algorithms / bi-criteria approximation algorithms / feasible solution / long range solution / binary search / polynomial time algorithm / constant factor approximation algorithms / past and several constant factor approximation algorithms / constant factor approximation algorithm / vertex solution / Local search heuristic / fractional solution / local search algorithms swaps / content distribution networks / primal-dual algorithm / integral solution / approximation algorithms / /

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Guy Kortsarz / Eva David / Kamal Jain / Lin / David B. Shmoys / Moses Charikar / Amit Kumar / Vinayaka Pandit / Barna Saha / C. Greg Plaxton / Ravishankar Krishnaswamy / Kamesh Munagala / Vijay Arya / Vijay V. Vazirani / Sudipto Guha / Jyh-Han Lin / Rajmohan Rajaraman / Yogish Sabharwal / Adam Meyerson / Madhukar R. Korupolu / Jeffrey Scott Vitter / Viswanath Nagarajan / Naveen Garg / Rohit Khandekar / /

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New York / /

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Theory of Computing / /

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local search algorithm / constant-factor approximation algorithm / Improved combinatorial algorithms / latter algorithm / randomized algorithm / polynomial time algorithm / primal-dual algorithm / approximation algorithms / ESA / Constant Factor Approximation Algorithm / rounding algorithm / constant factor approximation algorithms / bi-criteria approximation algorithms / /

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