Results 41 to 50 of about 5,632,119 (202)
, 2011 Recovery of magnetic target parameters from magnetic sensor measurements has attracted wide interests and found many practical applications. However, difficulties present in identifying the permanent magnetization due to the complications of ...
Yagola A.G. +2 more
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A coupled complex boundary expanding compacts method for inverse source problems
, 2019 In this paper, we consider an inverse source problem for elliptic partial differential equations with both Dirichlet and Neumann boundary conditions. The unknown source term is to be determined by additional boundary data. This problem is ill-posed since
Gulliksson, Mårten, +3 more
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Iterative Regularization in Nonparametric Instrumental Regression [PDF]
We consider the nonparametric regression model with an additive error that is correlated with the explanatory variables. We suppose the existence of instrumental variables that are considered in this model for the identification and the estimation of the
Van Bellegem, Sébastien +2 more
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METHOD OF TRAINING EXAMPLES IN SOLVING INVERSE ILL-POSED PROBLEMS OF SPECTROSCOPY [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2015 Subject of Study.The paper deals with further development of the method of computational experiments for solving ill-posed problems, e.g., the inverse spectroscopy problem.
V. S. Sizikov, A. V. Stepanov
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Solving ill-posed control problems by stabilized finite element methods: an alternative to Tikhonov regularization [PDF]
, 2018 Tikhonov regularization is one of the most commonly used methods for the regularization of ill-posed problems. In the setting of finite element solutions of elliptic partial differential control problems, Tikhonov regularization amounts to adding ...
Hansbo, P +12 more
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On a Two-Step Algorithm for Hierarchical Fixed Point Problems and Variational Inequalities
Journal of Inequalities and Applications, 2009 A common method in solving ill-posed problems is to substitute the original problem by a family of well-posed (i.e., with a unique solution) regularized problems.
Filomena Cianciaruso +3 more
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Projection Methods for Ill-Posed Problems Revisited [PDF]
Computational Methods in Applied Mathematics, 2015 Abstract We consider the discretization of least-squares problems for linear ill-posed operator equations in Hilbert spaces. The main subject of this article concerns conditions for convergence of the associated discretized minimum-norm least-squares solution to the exact solution using exact attainable data.
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Optimal regularization method for ill-posed Cauchy problems
Electronic Journal of Differential Equations, 2006 The goal of this paper is to give an optimal regularization method for an ill-posed Cauchy problem associated with an unbounded linear operator in a Hilbert space.
Nadjib Boussetila, Faouzia Rebbani
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An entropic Landweber method for linear ill-posed problems [PDF]
, 2019 The aim of this paper is to investigate the use of a Landweber-type method involving the Shannon entropy for the regularization of linear ill-posed problems.
Benning, M +5 more
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On the Optimality of Methods for Ill-Posed Problems
Zeitschrift für Analysis und ihre Anwendungen, 1987 The optimality of a class of regularization methods for linear ill-posed problems is investigated. The general results are applied to Lavrentjew’s and Tikhonov’s methods and to a class of iteration methods and their continuous versions.
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