Results 111 to 120 of about 6,536,345 (211)

Sharp maximal function estimates and boundedness for commutators associated with general integral operator

open access: yes, 2011
In this paper, we establish the sharp maximal function estimates for the commutator associated with some integral operator with general kernel and the weighted Lipschitz functions.
Lanzhe Liu
core   +1 more source

Medial Axis Aware Learning of Signed Distance Functions

open access: yesComputer 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

Almost Automorphic Solutions of Difference Equations

open access: yesAdvances in Difference Equations, 2009
We study discrete almost automorphic functions (sequences) defined on the set of integers with values in a Banach space X. Given a bounded linear operator T defined on X and a discrete almost automorphic function f(n), we give criteria for the existence ...
Daniela Araya   +2 more
doaj   +1 more source

Lipschitz Continuity and Gateaux Differentiability of the Best Approximation Operator in Vector-Valued Chebyshev Approximation [PDF]

open access: yes, 2007
When G is a finite-dimensional Haar subspace of CX,Rk, the vector-valued functions (including complex-valued functions when k is 2) from a finite set X to Euclidean k-dimensional space, it is well-known that at any function f in CX,Rk the best ...
Swetits, John, Bartelt, Martin
core   +1 more source

Compactly supported detail field for high quality neural implicit surfaces

open access: yesComputer 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

Multiple Binomial-Type Operators and Their Approximation Properties

open access: yesJournal of Mathematics
In this paper, we introduce multiple binomial-type operators (multiple Bernstein–Sheffer operators) and investigate their approximation properties. These properties are analyzed by means of a Korovkin-type theorem.
Mehmet Ali Özarslan   +2 more
doaj   +1 more source

Commutators associated with Schrödinger operators on the nilpotent Lie group

open access: yesJournal of Inequalities and Applications, 2017
Assume that G is a nilpotent Lie group. Denote by L = − Δ + W $L=-\Delta +W $ the Schrödinger operator on G, where Δ is the sub-Laplacian, the nonnegative potential W belongs to the reverse Hölder class B q 1 $B_{q_{1}}$ for some q 1 ≥ D 2 $q_{1} \geq ...
Tianzhen Ni, Yu Liu
doaj   +1 more source

The best constants for operator Lipschitz functions on Schatten classes

open access: yesJournal of Functional Analysis, 2014
Suppose that f is a Lipschitz function on the real numbers with Lipschitz constant smaller or equal to 1. Let A be a bounded self-adjoint operator on a Hilbert space H.
Caspers, M.   +3 more
openaire   +2 more sources

Tangent Blow‐Ups for Processing Non‐Manifold Geometry

open access: yesComputer 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

Relatively bounded and relatively trace class perturbations

open access: yesComptes Rendus. Mathématique
In this note we study the behaviour of functions of self-adjoint operators under relatively bounded and relatively trace class perturbations. We introduce and study the class of relatively operator Lipschitz functions.
Aleksandrov, Aleksei B.   +1 more
doaj   +1 more source

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