Stochastic asymptotical regularization for linear inverse problems (Q5055344)

scientific article; zbMATH DE number 7632634

Language	Label	Description	Also known as
English	Stochastic asymptotical regularization for linear inverse problems	scientific article; zbMATH DE number 7632634

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instance of

scholarly article

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title

Stochastic asymptotical regularization for linear inverse problems (English)

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13 December 2022

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full work available at URL

https://arxiv.org/abs/2201.09411

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zbMATH Keywords

ill-posed problems

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regularization

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stochastic

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convergence rates

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uncertainty quantification

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MaRDI profile type

MaRDI publication profile

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cites work

Optimal Convergence Rates Results for Linear Inverse Problems in Hilbert Spaces

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Rational Chebyshev Approximations for the Inverse of the Error Function

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Convergence rates of first- and higher-order dynamics for solving linear ill-posed problems

0 references

Optimization Methods for Large-Scale Machine Learning

0 references

Stochastic Equations in Infinite Dimensions

0 references

A proposal on machine learning via dynamical systems

0 references

Machine learning from a continuous viewpoint. I

0 references

Variational smoothness assumptions in convergence rate theory—an overview

0 references

A new class of accelerated regularization methods, with application to bioluminescence tomography

0 references

A convergence rates result for Tikhonov regularization in Banach spaces with non-smooth operators

0 references

On the interplay of source conditions and variational inequalities for nonlinear ill-posed problems

0 references

On the discrepancy principle for stochastic gradient descent

0 references

Overcoming the order barrier in the numerical approximation of stochastic partial differential equations with additive space–time noise

0 references

On the regularizing property of stochastic gradient descent

0 references

On the Convergence of Stochastic Gradient Descent for Nonlinear Ill-Posed Problems

0 references

An adaptive finite element method for Fredholm integral equations of the first kind and its verification on experimental data

0 references

Q5634306

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An Introduction to Computational Stochastic PDEs

0 references

Stochastic gradient descent for linear inverse problems in Hilbert spaces

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On the Asymptotical Regularization for Linear Inverse Problems in Presence of White Noise

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Geometry of linear ill-posed problems in variable Hilbert scales

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Q3791723

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Runge–Kutta integrators yield optimal regularization schemes

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A Stochastic Approximation Method

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Q3687611

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On the asymptotical regularization of nonlinear ill-posed problems

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Q3723609

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An adaptive regularization algorithm for recovering the rate constant distribution from biosensor data

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On fractional asymptotical regularization of linear ill-posed problems in Hilbert spaces

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On the second-order asymptotical regularization of linear ill-posed inverse problems

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Estimating the rate constant from biosensor data via an adaptive variational Bayesian approach

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Identifiers

DOI

10.1088/1361-6420/aca70f

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Mathematics Subject Classification ID

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Sitelinks

Mathematics(1 entry)

mardi Publication:5055344