Results 1 to 10 of about 82,072,160 (134)

On Bayesian data assimilation for PDEs with ill-posed forward problems [PDF]

open access: yesInverse Problems, 2022
Abstract We study Bayesian data assimilation (filtering) for time-evolution Partial differential equations (PDEs), for which the underlying forward problem may be very unstable or ill-posed. Such PDEs, which include the Navier–Stokes equations of fluid dynamics, are characterized by a high sensitivity of solutions to perturbations of the
S Lanthaler, S Mishra, F Weber
core   +7 more sources

Evaluation of Physics-Informed Neural Network Solution Accuracy and Efficiency for Modeling Aortic Transvalvular Blood Flow

open access: yesMathematical and Computational Applications, 2023
Physics-Informed Neural Networks (PINNs) are a new class of machine learning algorithms that are capable of accurately solving complex partial differential equations (PDEs) without training data.
Jacques Francois Du Toit, Ryno Laubscher
doaj   +1 more source

Well-Posed and Ill-Posed Boundary Value Problems for PDE 2013 [PDF]

open access: yesAbstract and Applied Analysis, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Allaberen Ashyralyev   +5 more
openaire   +5 more sources

On iterative methods for solving ill-posed problems modeled by PDE's

open access: yesCoRR, 2020
14 pages, 3 ...
Johann Baumeister, Antonio Leitão
openaire   +2 more sources

A General Method for the Solution of Inverse Problems in Transport Phenomena

open access: yesChemical Engineering Transactions, 2015
The typical inverse problems in transport phenomena are given by partial differential equations with unknown boundary conditions, which are to be estimated from measurements corresponding to solutions of the PDEs or of their gradients.
M. Vocciante, A. Reverberi, V. Dovi
doaj   +1 more source

Conditional Stability Estimates for Ill-Posed PDE Problems by Using Interpolation

open access: yesNumerical Functional Analysis and Optimization, 2013
The focus of this article is on conditional stability estimates for ill-posed inverse problems in partial differential equations. Conditional stability estimates have been obtained in related literature by a couple different methods. In this article, we propose a method called interpolation method, which is based on interpolation in variable Hilbert ...
Tautenhahn, Ulrich   +3 more
openaire   +3 more sources

Operational calculus approach to PDE arising in QR-regularisation of ill-posed problems

open access: yesMathematical and Computer Modelling, 2002
The authors treat two kinds of problems using operational calculus intended for boundary value problems: the first for the backward heat equation, and the second for a nonparabolic evolution equation. They discuss the algebraization of the boundary value problem using the Duhamel principle and obtain their solution in closed form.
Dimovski, I. H., Kalla, S. L., Ali, I.
openaire   +1 more source

Solving an Ill-Posed Cauchy Problem for a Two-Dimensional Parabolic PDE with Variable Coefficients Using a Preconditioned GMRES Method

open access: yesSIAM Journal on Scientific Computing, 2014
The sideways parabolic equation (SPE) is a model of the problem of determining the temperature on the surface of a body from the interior measurements. Mathematically it can be formulated as a noncharacteristic Cauchy problem for a parabolic partial differential equation. This problem is severely ill-posed in an $L_2$ setting.
Zohreh Ranjbar, Lars Eldén
openaire   +4 more sources

Well‐Posed and Ill‐Posed Boundary Value Problems for PDE [PDF]

open access: yesAbstract and Applied Analysis, 2012
Ashyralyev, Allaberen   +4 more
openaire   +3 more sources

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