Results 51 to 60 of about 85,642,486 (133)
Enabling hyper-differential sensitivity analysis for ill-posed inverse problems [PDF]
, 2022 Inverse problems constrained by partial differential equations (PDEs) play a critical role in model development and calibration. In many applications, there are multiple uncertain parameters in a model that must be estimated. However, high dimensionality
Waanders, Bart van Bloemen, Hart, Joseph
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Formulas in inverse and ill-posed problems
, 1997 The Inverse and Ill-Posed Problems Series is a series of monographs publishing postgraduate level information on inverse and ill-posed problems for an international readership of professional scientists and researchers.
Anikonov, Kilu E, Anikonov, Yu E
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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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Global saturation of regularization methods for inverse ill-posed problems [PDF]
, 2008 1 online resource (PDF, 25 pages)Spies, Ruben D.; Temperini, Karina G.. (2008). Global saturation of regularization methods for inverse ill-posed problems.
Temperini, Karina G., Spies, Ruben D.
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Efficient MCMC and posterior consistency for Bayesian inverse problems [PDF]
Many mathematical models used in science and technology often contain parameters that are not known a priori. In order to match a model to a physical phenomenon, the parameters have to be adapted on the basis of the available data.
Vollmer, Sebastian
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Quasi-boundary method for a fractional ill-posed problem
, 2022 International audienceA quasi-boundary method is used to study an ill-posed, time-fractional diffusion equation involving the fractional Riemann-Liouville derivative.
Joseph, Claire, Moutamal, Maryse
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ILL-POSED PROBLEMS AND EXAMPLES OF INCORRECT PROBLEMS
This work examines the problem of ill-posed problems, which often arise in various fields of science and practice. Ill-posed problems are characterized by the lack of a unique solution, sensitivity to changes in input data, and instability of the ...
Bogdan, Anna
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Error Estimates for Ill-Posed Problems
, 2007 Some recent results related to estimation of errors in inverse and ill-posed problems will be discussed. The speaker is a world-renowned specialist working in the area of inverse and ill-posed problems, including general theory, numerical methods, and ...
Yagola, Anatoly
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APPROXIMATION OF ILL-POSED BOUSSINESQ EQUATIONS
, 2007 In this paper we study finite dimensional approximations to Boussinesq type equations. Our methods are based on infinite dimensional center manifold theory.
Diogo A. Gomes, Claudia Valls
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Numerical study of two ill-posed one-phase Stefan problems [PDF]
, 2011 We treat two related moving boundary problems. The first is the ill-posed Stefan problem for melting a superheated solid in one Cartesian coordinate. Mathematically, this is the same problem as that for freezing a supercooled liquid, with applications ...
Moroney, Timothy J. +3 more
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