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![]() Title:Almost Consistent Systems of Linear Equations Authors:George Osipov Conference:PCCR2022 Tags:Biased graphs, Important separators, Linear equations and Parameterized complexity Abstract: Checking whether a system of linear equations is consistent is a basic computational problem with ubiquitous applications. When dealing with inconsistent systems, one may seek an assignment that minimizes the number of unsatisfied equations. This problem is NP-hard and UGC-hard to approximate within any constant even for two-variable equations over the two-element field. We study this problem from the point of view of parameterized complexity, with the parameter being the number of unsatisfied equations. The equations are defined over Euclidean domains -- an abstract algebraic structure generalizing finite and infinite fields including the rationals, the ring of integers, and many other structures. We find that the problem is W[1]-hard when three or more variables are allowed in an equation. The remaining case with two-variable equations is more interesting since it generalizes many eminent graph separation problems like Bipartization, Multiway Cut and Multicut parameterized by the solution size. We provide an fixed-parameter tractable algorithm for this case. On the technical side, we introduce the notion of important balanced subgraphs and an fpt algorithm for their enumeration. The method is used as a more efficient alternative to the sampling of important separators [Marx and Razgon, SICOMP'14]. Further, we use recent results on parameterized MinCSP [Kim et al., SODA'21] to solve a generalization of Multicut with disjunctive cut requests. The talk is based on joint (unpublished) work with Konrad K. Dabrowski, Peter Jonsson, Sebastian Ordyniak, and Magnus Wahlström. Almost Consistent Systems of Linear Equations ![]() Almost Consistent Systems of Linear Equations | ||||
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