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  Towards More Practical Linear Programming-based Techniques for Algorithmic Mechanism Design

Elbassioni, K., Mehlhorn, K., & Ramezani, F. (2014). Towards More Practical Linear Programming-based Techniques for Algorithmic Mechanism Design. Retrieved from http://arxiv.org/abs/1408.1577.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-490A-B Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0026-A2CF-0
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arXiv:1408.1577.pdf (Preprint), 304KB
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 Creators:
Elbassioni, Khaled1, Author           
Mehlhorn, Kurt1, Author           
Ramezani, Fahimeh1, Author           
Affiliations:
1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              

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Free keywords: Computer Science, Computer Science and Game Theory, cs.GT,Computer Science, Data Structures and Algorithms, cs.DS
 Abstract: R. Lavy and C. Swamy (FOCS 2005, J. ACM 2011) introduced a general method for obtaining truthful-in-expectation mechanisms from linear programming based approximation algorithms. Due to the use of the Ellipsoid method, a direct implementation of the method is unlikely to be efficient in practice. We propose to use the much simpler and usually faster multiplicative weights update method instead. The simplification comes at the cost of slightly weaker approximation and truthfulness guarantees.

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Language(s): eng - English
 Dates: 2014-08-072014-08-07
 Publication Status: Published online
 Pages: 22 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: arXiv: 1408.1577
URI: http://arxiv.org/abs/1408.1577
BibTex Citekey: DBLP:journals/corr/ElbassioniMR14
 Degree: -

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