MaxSAT: Difference between revisions

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(Created page with "{{DISPLAYTITLE:MaxSAT (Boolean Satisfiability)}} == Description == Given an instance of SAT represented in Conjunctive Normal Form (CNF), compute an assignment to the variables that maximizes the number of satisfied clauses. == Related Problems == Generalizations: Conjunctive Normal Form SAT Related: SAT, Disjunctive Normal Form SAT, 1-in-3SAT, Monotone 1-in-3SAT, Monotone Not-Exactly-1-in-3SAT, All-Equal-SAT, Not-All-Equal 3-SAT (NAE...")
 
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== Parameters ==  
== Parameters ==  


<pre>n: number of variables</pre>
n: number of variables


== Table of Algorithms ==  
== Table of Algorithms ==  

Revision as of 13:03, 15 February 2023

Description

Given an instance of SAT represented in Conjunctive Normal Form (CNF), compute an assignment to the variables that maximizes the number of satisfied clauses.

Related Problems

Generalizations: Conjunctive Normal Form SAT

Related: SAT, Disjunctive Normal Form SAT, 1-in-3SAT, Monotone 1-in-3SAT, Monotone Not-Exactly-1-in-3SAT, All-Equal-SAT, Not-All-Equal 3-SAT (NAE 3SAT), Monotone Not-All-Equal 3-SAT (Monotone NAE 3SAT), k-SAT, 2SAT, 3SAT, 3SAT-5, 4SAT, Monotone 3SAT, XOR-SAT, Horn SAT, Dual-Horn SAT, Renamable Horn

Parameters

n: number of variables

Table of Algorithms

Currently no algorithms in our database for the given problem.

Reductions TO Problem

Problem Implication Year Citation Reduction
st-Maximum Flow assume: SETH
then: for any fixed constants $\epsilon > {0}$, $c_1,c_2 \in ({0},{1})$, on graphs with $n$ nodes $|S|=\tilde{\Theta}(n^{c_1})$, $|T|=\tilde{\Theta(n^{c_2})}$, $m=O(n)$ edges, and capacaties in $\{1,\cdots,n\}$, target cannot be solved in $O((|S|T|m)^{1-\epsilon})$
2018 https://dl.acm.org/doi/abs/10.1145/3212510 link
All-Pairs Maximum Flow assume: SETH
then: for any fixed $\epsilon > {0}$, in graphs with $n$ nodes, $m=O(n)$ edges, and capacities in $\{1,\cdots,n\}$ target cannot be solved in time $O((n^{2}m)^{1-\epsilon})$
2018 https://dl.acm.org/doi/abs/10.1145/3212510 link
All-Pairs Maximum Flow assume: SETH
then: for any fixed constants $\epsilon > {0}$, $c_1,c_2 \in ({0},{1})$, on graphs with $n$ nodes $|S|=\tilde{\Theta}(n^{c_1})$, $|T|=\tilde{\Theta(n^{c_2})}$, $m=O(n)$ edges, and capacaties in $\{1,\cdots,n\}$, target cannot be solved in $O((|S|T|m)^{1-\epsilon})$
2018 https://dl.acm.org/doi/abs/10.1145/3212510 link
st-Maximum Flow assume: SETH
then: for any fixed $\epsilon > {0}$, in graphs with $n$ nodes, $m=O(n)$ edges, and capacities in $\{1,\cdots,n\}$ target cannot be solved in time $O((n^{2}m)^{1-\epsilon})$
2018 https://dl.acm.org/doi/abs/10.1145/3212510 link
Maximum Local Edge Connectivity assume: SETH
then: for any $\epsilon > {0}$, in graphs with $n$ nodes and $\tilde{O}(n)$ edges, target cannot be solved in time $O(n^{2-\epsilon})$
2018 https://dl.acm.org/doi/abs/10.1145/3212510 link