Results 71 to 80 of about 1,120,275 (201)

A Critical Point Theorem for Perturbed Functionals and Low Perturbations of Differential and Nonlocal Systems

open access: yesAdvanced Nonlinear Studies, 2020
In this paper we establish a new critical point theorem for a class of perturbed differentiable functionals without satisfying the Palais–Smale condition.
Bahrouni Anouar   +2 more
doaj   +1 more source

Fault‐Tolerant Fuzzy Boundary Control for Nonlinear Distributed Parameter Systems Under Limited Measurements and Markovian Failures

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT This paper proposes a boundary control method for nonlinear distributed parameter systems (DPSs) with limited boundary measurements (BMs), as typically encountered in networked cyber‐physical processes with spatially distributed dynamics such as thermal and biomedical diffusion systems.
Yanlin Li   +5 more
wiley   +1 more source

On numerical methods for solving hypersingular integral equations on infinite line

open access: yesИзвестия высших учебных заведений. Поволжский регион: Физико-математические науки
Background. Hypersingular integral equations on infinite line that arise in many problems of mathematical physics are considered. Materials and methods. Hypersingular equations are studied in Sobolev spaces, which are represented by Fourier series with a
Yuriy G. Smirnov   +2 more
doaj   +1 more source

Fractional Maximal Functions in Metric Measure Spaces

open access: yesAnalysis and Geometry in Metric Spaces, 2013
We study the mapping properties of fractional maximal operators in Sobolev and Campanato spaces in metric measure spaces. We show that, under certain restrictions on the underlying metric measure space, fractional maximal operators improve the Sobolev ...
Heikkinen Toni   +3 more
doaj   +1 more source

Computing Skinning Weights via Convex Duality

open access: yesComputer Graphics Forum, EarlyView.
We present an alternate optimization method to compute bounded biharmonic skinning weights. Our method relies on a dual formulation, which can be optimized with a nonnegative linear least squares setup. Abstract We study the problem of optimising for skinning weights through the lens of convex duality.
J. Solomon, O. Stein
wiley   +1 more source

Limits of fractional Orlicz-Sobolev spaces

open access: yes, 2021
Extended versions of the Bourgain-Brezis-Mironescu theorems on the limit as s->1^- of the Gagliardo-Slobodeckij fractional seminorm are established in the Orlicz space setting.
Angela Alberico
core  

Hierarchical Optimization of the As‐Rigid‐As‐Possible Energy

open access: yesComputer Graphics Forum, EarlyView.
Abstract The As‐Rigid‐As‐Possible (ARAP) energy [SA07] has become a versatile ingredient in various geometry processing and machine learning methods. The classic method for its minimization is a block coordinate descent, alternating between local rotation estimation and a global linear solve, which converges slowly for large problem instances.
Hendrik Meyer, Bernd Bickel, Marc Alexa
wiley   +1 more source

An Introduction to Sobolev Spaces

open access: yes, 2021
Sobolev spaces were firstly defined by the Russian mathematician, Sergei L. Sobolev (1908-1989) in the 1930s. Several properties of these spaces have been studied by mathematicians until today.
Okutmuştur, Baver, Pişkin, Erhan
core   +1 more source

Sobolev Spaces on Locally Compact Abelian Groups: Compact Embeddings and Local Spaces

open access: yesJournal of Function Spaces, 2014
We continue our research on Sobolev spaces on locally compact abelian (LCA) groups motivated by our work on equations with infinitely many derivatives of interest for string theory and cosmology.
Przemysław Górka   +2 more
doaj   +1 more source

On Newton-Sobolev spaces [PDF]

open access: yes, 2017
Newton-Sobolev spaces, as presented by N. Shanmugalingam, describe a way to extend Sobolev spaces to the metric setting via upper gradients, for metric spaces with ´sucient´ paths of nite length.
Marcos, Miguel
core   +1 more source

Home - About - Disclaimer - Privacy