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In convex analysis and the calculus of variations, both branches of mathematics, a pseudoconvex function is a function that behaves like a convex function with respect to finding its local minima, but need not actually be convex. Informally, a differentiable function is pseudoconvex if it is increasing in any direction where it has a positive directional…
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function pseudoconvex displaystyle convex derivative differentiable also quasiconvex example functions pseudoconvexity true local given minimum point direction positive directional mathematics
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Pseudoconvex function | is a | function that behaves like a convex function with respect to finding its local minima | 0.90 | text |
| Pseudoconvex function | related to Relation to other types of "convexity" | Every | 0.60 | section |
| Pseudoconvex function | related to Relation to other types of "convexity" | For | 0.60 | section |
| Pseudoconvex function | related to Relation to other types of "convexity" | Similarly | 0.60 | section |
| Pseudoconvex function | related to Relation to other types of "convexity" | This | 0.60 | section |
| Pseudoconvex function | related to Relation to other types of "convexity" | To | 0.60 | section |
| Pseudoconvex function | related to Relation to other types of "convexity" | Then | 0.60 | section |
| Pseudoconvex function | related to Sufficient optimality condition | For | 0.60 | section |
| Pseudoconvex function | related to Sufficient optimality condition | Fermat's | 0.60 | section |
| Pseudoconvex function | related to Sufficient optimality condition | Pseudoconvexity | 0.60 | section |
| Pseudoconvex function | related to Sufficient optimality condition | That | 0.60 | section |
| Pseudoconvex function | related to Sufficient optimality condition | Note | 0.60 | section |
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