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Progress in Systems and Telecommunication Engineering
 

Study of natural optimization issues in maximum constraints
Pasin Manurangsi and Dana Moshkovitz
Dropbox, Inc.San Francisco, CA 94107, USA., Dropbox, Inc.San Francisco, CA 94107, USA
Abstract: Maximum constraint satisfaction problem (Max CSP) is a problem of great interest in approximation algorithms since it encapsulates many natural optimization problems. The goal is to find an assignment to all the variables that satisfy as many constraints as possible. In this work, our primary focus is the case where each constraint depends on exactly k = 2 variables and the large alphabet size. This case has been intensively researched regarding the hardness of approximation and multi-prover games.
Keywords: Maximum constraint satisfaction problem, Approximation algorithms, Approximation hardness Study of natural optimization issues in maximum constraints
DOI:https://doi.org/10.6025/pste/2024/13/1/44-63
Full_Text   PDF 8.36 MB   Download:   13  times
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