Max-E3-LIN-2

E537215

Max-E3-LIN-2 is a canonical constraint satisfaction optimization problem over linear equations modulo 2 with three variables per equation, widely used as a central example in hardness of approximation theory.

Jump to: Statements Referenced by

Statements (46)

Predicate Object
instanceOf NP-hard optimization problem
computational problem
constraint satisfaction optimization problem
abbreviationOf Maximum Exact 3-Linear Equations Modulo 2 NERFINISHED
approximationClass APX-hard
baselineRandomAssignmentSatisfaction 1/2
belongsToClass Max-CSP NERFINISHED
centralTo probabilistically checkable proofs (PCP) theory
complexityStatus NP-hard to solve exactly
constraintLanguage all 3-variable linear equations over GF(2)
constraintType linear equation
definedOver linear equations modulo 2
equationForm x ⊕ y ⊕ z = b (mod 2)
field GF(2)
hardnessOfBeatingRandom it is NP-hard to approximate better than 1/2 + ε for some ε > 0 under standard assumptions
hasApproximationResistance yes
hasCanonicalStatus yes
hasConstraintArity 3 variables per equation
hasConstraintSize 3
hasDecisionVariant given threshold k, is there an assignment satisfying at least k equations?
hasDomain {0,1}
hasGapVersion distinguish nearly satisfiable instances from highly unsatisfiable ones
hasInput set of linear equations over GF(2) with exactly 3 variables each
hasOperation addition modulo 2
hasOutput assignment to variables
hasRandomizedAlgorithmBaseline random assignment satisfies about half the equations
hasSymmetry invariance under variable negation and permutation within each equation
isBooleanCSP true
isMaximizationProblem true
isSpecialCaseOf Max-3-CSP
Max-LIN-2 NERFINISHED
isUniformVariant each constraint has exactly 3 variables
modulus 2
objective maximize number of satisfied equations
optimizationCriterion number of satisfied constraints
relatedProblem Max-3-SAT
Max-Cut NERFINISHED
relatedTo Label Cover NERFINISHED
PCP theorem NERFINISHED
studiedIn approximation algorithms
computational complexity theory
typicalUse starting point for gap-introducing reductions
usedAs canonical example in PCP-based inapproximability
usedFor reductions in inapproximability proofs
usedIn hardness of approximation theory
variableType Boolean variables

Referenced by (1)

Full triples — surface form annotated when it differs from this entity's canonical label.

“Inapproximability results for SAT and other problems” relatedConcept Max-E3-LIN-2
subject surface form: Inapproximability results for SAT and other problems