Results 101 to 110 of about 417,873 (284)
Estimation and compensation for Lipschitz nonlinear discrete-time systems subjected to unknown measurement delays [PDF]
, 2015 Unknown measurement delays usually degrade system performance, and even damage the system under output feedback control, which motivates us to develop an effective method to attenuate or offset the adverse effect from the measurement delays.
Gao, Zhiwei
core +1 more source
Medial Axis Aware Learning of Signed Distance Functions
Computer Graphics Forum, EarlyView.Abstract We propose a novel variational method to compute a highly accurate global signed distance function (SDF) to a given point cloud. To this end, the jump set of the gradient of the SDF, which coincides with the medial axis of the surface, is explicitly taken into account through a higher‐order variational formulation that enforces linear growth ...
Samuel Weidemaier +2 more
wiley +1 more source
Lipschitz estimates for convex functions with respect to vector fields
Bruno Pini Mathematical Analysis Seminar, 2012 We present Lipschitz continuity estimates for a class of convex functions with respect to Hörmander vector fields. These results have been recently obtained in collaboration with M. Scienza, [22].
Valentino Magnani
doaj
Lipschitz Continuous Allocations for Optimization Games
CoRR23 pages, ICALP ...
Kumabe, Soh, Yoshida, Yuichi
openaire +5 more sources
Lipschitz continuity and strong unicity in G. Freud's work [PDF]
, 1986 The purpose of this paper is to illustrate the significance of G. Freud's work on Lipschitz continuity of the operator of best uniform approximation and the impact of his investigations on strong unicity and strong unicity ...
Blatt, Hans-Peter
core +1 more source
Compactly supported detail field for high quality neural implicit surfaces
Computer Graphics Forum, EarlyView.Abstract Neural implicit surfaces are a powerful tool for encoding a surface as the zero level set of a neural function. Trained using gradient‐descent based optimizers, these methods however suffer from a low‐frequency bias that prevents them to fit fine details of the surface.
Guillaume Coiffier, Justine Basselin
wiley +1 more source
Exponential Attractor for Lattice System of Nonlinear Boussinesq Equation
Discrete Dynamics in Nature and Society, 2013 We study the lattice dynamical system of a nonlinear Boussinesq equation. We first verify the Lipschitz continuity of the continuous semigroup associated with the system.
Min Zhao, Shengfan Zhou
doaj +1 more source
Lipschitz constants for the Bernstein polynomials of a Lipschitz continuous function
Journal of Approximation Theory, 1987 The authors prove the following new minimizing behaviour of the Bernstein polynomials: If \(f\in Lip_ A\mu\), then for all \(n\geq 1\), \(B_ n(f)\in Lip_ A\mu\) also.
Brown, B.M, Elliott, D, Paget, D.F
openaire +2 more sources
Tangent Blow‐Ups for Processing Non‐Manifold Geometry
Computer Graphics Forum, EarlyView.Abstract Many geometry processing pipelines implicitly assume their input data is a manifold, or is sampled from one, with a unique tangent plane at every point. Geometric data, however, routinely contains sharp features like edges, corners, self‐intersections, branching junctions, and other singularities, rendering standard methods ill‐defined at ...
Alice Petrov +3 more
wiley +1 more source
Strictly Conservative Neural Distance Fields
Computer Graphics Forum, EarlyView.Abstract We propose a first method to generate neural unsigned or signed distance fields (SDFs) that are guaranteed to be conservative with respect to a given 3D shape. This means the true distance is never overestimated and the zero‐level set is a bounding volume for the shape. The method makes use of neural network architectures that ensure Lipschitz
I. Ludwig, M. Campen
wiley +1 more source