Results 11 to 20 of about 1,234,774 (270)
Invisibility and Inverse Problems [PDF]
, 2008 This survey of recent developments in cloaking and transformation optics is an expanded version of the lecture by Gunther Uhlmann at the 2008 Annual Meeting of the American Mathematical Society.Comment: 68 pages, 12 figures.
Greenleaf, Allan +3 more
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Uniqueness result for a fractional diffusion coefficient identification problem
Boundary Value Problems, 2019 In this paper, we establish an identifiability result for the coefficient identification problem in a fractional diffusion equation in a bounded domain from the observation of the Cauchy data on particular subsets of the boundary.
Fadhel Jday, Ridha Mdimagh
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Robust Prediction of Single and Multiple Point Protein Mutations Stability Changes
Biomolecules, 2019 Accurate prediction of protein stability changes resulting from amino acid substitutions is of utmost importance in medicine to better understand which mutations are deleterious, leading to diseases, and which are neutral.
Óscar Álvarez-Machancoses +3 more
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Imaging and Calibration of Electromagnetic Inversion Data With a Single Data Set
IEEE Open Journal of Antennas and Propagation, 2022 Electromagnetic Imaging (EMI) systems use a large number of co-resident antennas usually connected to a Vector Network Analyzer via a switch. A numerical model is used to model the physical electromagnetic problem and an inversion algorithm is used to ...
Eungjoo Kim +5 more
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Inverse problems and uncertainty quantification [PDF]
, 2013 In a Bayesian setting, inverse problems and uncertainty quantification (UQ) - the propagation of uncertainty through a computational (forward) model - are strongly connected.
Litvinenko, Alexander +1 more
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Solving Inverse Problems Interestingly
International Journal of Applied Sciences and Smart Technologies, 2020 Inverse problems deal with recovering the causes for a desired or given effect. Their presence across sciences and their theoretical study can be traced to a classic example.
Rommel Real
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, 2020 AbstractGenerally speaking, inverse problems typically consist in the reconstruction of causes for observed effects. In imaging applications the cause is usually a probe and the effect are observed data. The corresponding forward problems then consists in predicting experimental data given perfect knowledge of the probe.
Hohage, Thorsten +5 more
openaire +2 more sources
General inverse problems for regular variation [PDF]
, 2013 Regular variation of distributional tails is known to be preserved by various linear transformations of some random structures. An inverse problem for regular variation aims at understanding whether the regular variation of a transformed random object is
Damek, Ewa +3 more
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Besov priors for Bayesian inverse problems [PDF]
, 2011 We consider the inverse problem of estimating a function $u$ from noisy, possibly nonlinear, observations. We adopt a Bayesian approach to the problem.
A. Beskos +34 more
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Quadratic functional estimation in inverse problems [PDF]
, 2009 We consider in this paper a Gaussian sequence model of observations $Y_i$, $i\geq 1$ having mean (or signal) $\theta_i$ and variance $\sigma_i$ which is growing polynomially like $i^\gamma$, $\gamma >0$.
Butucea, Cristina, Méziani, Katia
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