Results 11 to 20 of about 1,229,088 (206)
Poisson inverse problems [PDF]
The Annals of Statistics, 2006 In this paper we focus on nonparametric estimators in inverse problems for Poisson processes involving the use of wavelet decompositions. Adopting an adaptive wavelet Galerkin discretization, we find that our method combines the well-known theoretical advantages of wavelet--vaguelette decompositions for inverse problems in terms of optimally adapting ...
Antoniadis, Anestis, Bigot, Jérémie
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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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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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Bayesian inference for inverse problems [PDF]
, 2001 Traditionally, the MaxEnt workshops start by a tutorial day. This paper summarizes my talk during 2001'th workshop at John Hopkins University. The main idea in this talk is to show how the Bayesian inference can naturally give us all the necessary tools ...
Mohammad-Djafari, Ali
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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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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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, 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
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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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Inverse problems connected with two-point boundary value problems [PDF]
, 1971 For the purpose of studying those properties of a nonlinear function $f(u)$ for which the two-point boundary value problem $u''+\lambda f(u)=0 (00$, the authors construct a number of kinds of special examples.
Cohen, Donald S., Hansen, Erik B.
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Computer Assisted Methods in Engineering and Science, 2019 We present the next issue of CAMES, in which four articles addressing inverse problems are to be found. These articles were presented during the 5th International Conference on Inverse Problems Methods IPM 2019 which was held at the Kombornia Manor ...
Tadeusz Burczyński
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