Results 31 to 40 of about 717,764 (281)

Existence and Uniqueness Theorem for a Solution to a Class of a Third-Order Nonlinear Differential Equation in the Domain of Analyticity

open access: yesAxioms, 2022
The paper considers the specifics of nonlinear differential equations that have applications in different areas. Earlier, the authors proved the existence and uniqueness theorem for a solution to a class of non-linear differential equations in a ...
Victor Orlov, Magomedyusuf Gasanov
doaj   +1 more source

A Pointwise a-priori Estimate for the d-bar Neumann Problem on Weakly Pseudoconvex Domains

open access: yes, 2013
We introduce a new integral representation formula in the d-bar Neumann Theory on weakly pseudoconvex domains which satisfies certain estimates analogous to the basic L^2 estimate.
Folland, Rolf Range
core   +1 more source

On subordination conditions for systems of minimal di erential operators

open access: yesСовременная математика: Фундаментальные направления
In this paper, we provide a review of results on apriori estimates for systems of minimal differential operators in the scale of spaces \(L^p(\Omega),\) where \(p\in[1,\infty].\) We present results on the characterization of elliptic and \(l ...
D. V. Limanskii, M. M. Malamud
doaj   +1 more source

Dependence of the Analytical Approximate Solution to the Van der Pol Equation on the Perturbation of a Moving Singular Point in the Complex Domain

open access: yesAxioms, 2023
This paper considers a theoretical substantiation of the influence of a perturbation of a moving singular point on the analytical approximate solution to the Van der Pol equation obtained earlier by the author.
Victor Orlov
doaj   +1 more source

The hp-BEM with quasi-uniform meshes for the electric field integral equation on polyhedral surfaces: a priori error analysis

open access: yes, 2009
This paper presents an a priori error analysis of the hp-version of the boundary element method for the electric field integral equation on a piecewise plane (open or closed) Lipschitz surface. We use H(div)-conforming discretisations with Raviart-Thomas
Bespalov, Alexei, Heuer, Norbert
core   +1 more source

Probabilistic square functions and a priori estimates [PDF]

open access: yesTransactions of the American Mathematical Society, 1985
We obtain a priori estimates for Riesz transforms and their variants, that is, estimates with bounds independent of the dimension of the space and/or the nature of the boundary. The key to our results is to give probabilistic definitions which do not depend on the geometry of the situation for the transformations in question.
openaire   +2 more sources

Two-grid virtual element discretization of quasilinear elliptic problem

open access: yesMathematical Modelling and Analysis
In this paper a two grid algorithm for quasilinear elliptic problem based on virtual element method (VEM) discretization is proposed. With this new algorithm the solution of a quasilinear elliptic problem on a fine grid is reduced to the solution of a ...
Fengxin Chen, Minghui Yang, Zhaojie Zhou
doaj   +1 more source

A-priori estimates of the hp-adaptive BEM in elastic scattering of acoustic waves

open access: yesComputer Assisted Methods in Engineering and Science, 2023
In the paper some a-priori hp-adaptive error estimates, applied to the problem of acoustic wave scattering on an elastic body in the 2D space, solved by the Boundary Element Method, are presented.
Andrzej Karafiat
doaj  

Class IIa HDACs forced degradation allows resensitization of oxaliplatin‐resistant FBXW7‐mutated colorectal cancer

open access: yesMolecular Oncology, EarlyView.
HDAC4 is degraded by the E3 ligase FBXW7. In colorectal cancer, FBXW7 mutations prevent HDAC4 degradation, leading to oxaliplatin resistance. Forced degradation of HDAC4 using a PROTAC compound restores drug sensitivity by resetting the super‐enhancer landscape, reprogramming the epigenetic state of FBXW7‐mutated cells to resemble oxaliplatin ...
Vanessa Tolotto   +13 more
wiley   +1 more source

“A priori” shapley data value estimation

open access: yesPattern Analysis and Applications
Abstract Distributed machine learning approaches are required when training data cannot be collected in a central location, due to storage, transmission or privacy/security constraints. An important task in any distributed machine learning context, and Federated Learning is no exception, is data value estimation or credit allocation, where ...
Navia Vázquez, Ángel   +2 more
openaire   +2 more sources

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