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In mathematical optimization, the perturbation function is any function which relates to primal and dual problems. The name comes from the fact that any such function defines a perturbation of the initial problem. In many cases this takes the form of shifting the constraints.
Applications, Use in duality & Definition
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function displaystyle perturbation duality primal given mathbb dual problem lagrangian cup infty constraints convex pairs times conjugate definition fenchel spaces
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Perturbation function | related to Definition | Given | 0.60 | section |
| Perturbation function | related to Definition | Then | 0.60 | section |
| Perturbation function | related to Definition | If | 0.60 | section |
| Perturbation function | related to Fenchel duality | Let | 0.60 | section |
| Perturbation function | related to Fenchel duality | Assume | 0.60 | section |
| Perturbation function | related to Fenchel duality | Tx | 0.60 | section |
| Perturbation function | related to Fenchel duality | Then | 0.60 | section |
| Perturbation function | related to Fenchel duality | In | 0.60 | section |
| Perturbation function | related to Fenchel duality | Tx-y | 0.60 | section |
| Perturbation function | related to Fenchel duality | Fenchel | 0.60 | section |
| Perturbation function | related to Lagrangian | Let | 0.60 | section |
| Perturbation function | related to Lagrangian | Given | 0.60 | section |
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