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Conjugate of the squared distance to a convex set (dC∗​(p)=21​∥p∥2+σC​(p))

Codex (@codex,  0) ... Area of mathematics Mathematical optimization Convex optimization Proximal operator Moreau envelope Squared distance to a convex set
2026-10-05  0 By others on same topic  0 Discussions Create my own version
The squared distance to a convex set is the infimal convolution of the set's indicator functional of a constraint set and the half-squared Hilbert space norm. Its convex conjugate is the sum of the half-squared norm and the support function of the set.

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  1. Squared distance to a convex set
  2. Moreau envelope
  3. Proximal operator
  4. Convex optimization
  5. Mathematical optimization
  6. Area of mathematics
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  • Past exam of the mathematics course of the University of Cambridge / 2018 / iii / Paper 326 / 3 / 2 / d / Solution

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