Note on Max Lin-2 above Average
Robert Crowston, Gregory Gutin, Mark Jones

TL;DR
This paper investigates the fixed-parameter tractability of the Max Lin-2 problem above average, extending known special cases using combinatorial methods and applying results to related problems like Max r-SAT.
Contribution
It extends two special cases of the Max Lin-2 problem being fixed-parameter tractable using combinatorial tools, providing a new proof for Max r-SAT above the average.
Findings
Extended fixed-parameter tractability results for Max Lin-2.
Provided a combinatorial proof for Max r-SAT above the average.
Connected results to previously known algorithms and proofs.
Abstract
In the Max Lin-2 problem we are given a system of linear equations in variables over in which Equation is assigned a positive integral weight for each . We wish to find an assignment of values to the variables which maximizes the total weight of satisfied equations. This problem generalizes Max Cut. The expected weight of satisfied equations is , where ; is a tight lower bound on the optimal solution of Max Lin-2. Mahajan et al. (J. Comput. Syst. Sci. 75, 2009) stated the following parameterized version of Max Lin-2: decide whether there is an assignment of values to the variables that satisfies equations of total weight at least , where is the parameter. They asked whether this parameterized problem is fixed-parameter tractable, i.e., can be solved in time , where is an arbitrary…
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Taxonomy
TopicsAdvanced Graph Theory Research · Complexity and Algorithms in Graphs · Limits and Structures in Graph Theory
