A method to convexify functions via curve evolution
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Publication:4264569
DOI10.1080/03605309908821476zbMath0935.35087OpenAlexW2051574785MaRDI QIDQ4264569
Publication date: 5 December 1999
Published in: Communications in Partial Differential Equations (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03605309908821476
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Related Items (12)
From the Kähler-Ricci flow to moving free boundaries and shocks ⋮ COMPUTING THE CONVEX ENVELOPE USING A NONLINEAR PARTIAL DIFFERENTIAL EQUATION ⋮ Computing the level set convex hull ⋮ An iterated projection approach to variational problems under generalized convexity constraints ⋮ A smoothing method of global optimization that preserves global minima ⋮ Segmentation under geometrical conditions using geodesic active contours and interpolation using level set methods ⋮ A uniqueness result for the quasiconvex operator and first order PDEs for convex envelopes ⋮ A note on global optimization via the heat diffusion equation ⋮ The Dirichlet problem for the convex envelope ⋮ The convex envelope is the solution of a nonlinear obstacle problem ⋮ A Doubly Graduated Method for Inference in Markov Random Field ⋮ Variational methods on the space of functions of bounded Hessian for convexification and denoising
Cites Work
- Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations
- Convex viscosity solutions and state constraints
- Feature-Oriented Image Enhancement Using Shock Filters
- High-Order Essentially Nonoscillatory Schemes for Hamilton–Jacobi Equations
- User’s guide to viscosity solutions of second order partial differential equations
- Front Propagation and Phase Field Theory
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