Handbook of Variational Methods for Nonlinear Geometric Data / Philipp Grohs, Martin Holler, Andreas Weinmann editors

• Pubblicazione: Cham, : Springer, 2020
• Titolo uniforme: Handbook of Variational Methods for Nonlinear Geometric Data
• Descrizione fisica: xxvi, 701 p. : ill. ; 24 cm
• Soggetto topico: 65-XX - Numerical analysis [MSC 2020]; 65Mxx - Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems [MSC 2020]; 65Nxx - Numerical methods for partial differential equations, boundary value problems [MSC 2020]; 65Dxx - Numerical approximation and computational geometry (primarily algorithms) [MSC 2020]; 00B15 - Collections of articles of miscellaneous specific interest [MSC 2020]
• Soggetto non controllato: Applied differential geometry; Curvature regularization; Denoising; Diffusion tensor imaging; Functional lifting techniques; Geometric finite elements; Geometric nonlinear data; Geometry processing; Labeling; Manifold valued data; Medical Imaging; Metamorphosis models; Optical flow; Optimization in manifolds; Statistics in manifolds; Total variation; Variational methods
• Persona (resp. second.): Grohs, Philipp; Holler, Martin; Weinmann, Andreas
• Titolo autorizzato: Handbook of Variational Methods for Nonlinear Geometric Data
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN0249334
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: http://doi.org/10.1007/978-3-030-31351-7