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In mathematics, Slater's condition (or Slater condition) is a sufficient condition for strong duality to hold for a convex optimization problem, named after Morton L. Slater. Informally, Slater's condition states that the feasible region must have an interior point (see technical details below).
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condition slater's duality convex displaystyle slater problem exists strong holds optimization ldots functions states interior see feasible relint operatorname inequalities
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Slater's condition | is a | specific example of a constraint qualification | 0.90 | text |
| Slater's condition | related to Application to convex optimization | Consider | 0.60 | section |
| Slater's condition | related to Application to convex optimization | This | 0.60 | section |
| Slater's condition | related to Application to convex optimization | Slater's | 0.60 | section |
| Slater's condition | related to Generalized Inequalities | Given | 0.60 | section |
| Slater's condition | related to Generalized Inequalities | Then Slater's | 0.60 | section |
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