Results 31 to 40 of about 1,268,193 (209)
Inverse problems of determining coefficients of time type in a degenerate parabolic equation
Қарағанды университетінің хабаршысы. Математика сериясы, 2022 The paper is devoted to the study of the solvability of inverse coefficient problems for degenerate parabolic equations of the second order. We study both linear inverse problems - the problems of determining an unknown right-hand side (external ...
A.I. Kozhanov +2 more
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Inverse Problems in a Bayesian Setting
, 2015 In a Bayesian setting, inverse problems and uncertainty quantification (UQ) --- the propagation of uncertainty through a computational (forward) model --- are strongly connected.
A. M. Stuart +21 more
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A data-driven iteratively regularized Landweber iteration
, 2020 We derive and analyse a new variant of the iteratively regularized Landweber iteration, for solving linear and nonlinear ill-posed inverse problems.
Aspri, Andrea +3 more
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Gonadal Dysfunction in Wolfram Syndrome: A Prospective Study
DiagnosticsBackground: Wolfram syndrome (WFS), also known as DIDMOAD, is a rare monogenic neurodegenerative disorder characterized by four key components: non-autoimmune insulin-dependent diabetes mellitus (DM), optic atrophy, sensorineural hearing loss, and ...
Gema Esteban-Bueno +1 more
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Inverse Generalized Maximum Flow Problems
Mathematics, 2019 A natural extension of maximum flow problems is called the generalized maximum flow problem taking into account the gain and loss factors for arcs. This paper investigates an inverse problem corresponding to this problem. It is to increase arc capacities
Javad Tayyebi, Adrian Deaconu
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Journal of Physics A: Mathematical and Theoretical, 2009 It is shown that nodal sequences determine the underlying manifold up to scaling within classes of rectangles with Dirichlet boundary conditions, separable two dimensional tori, two-dimensional flat Klein bottles and flat tori in two and three dimensions.
openaire +2 more sources
Inverse Problems: Methods and Applications
Trends in Computational and Applied Mathematics, 2001 Inverse problems form the basis of all measurements to the extent that they involve the determination of the cause of a phenomenon based on observations that can be affected by undesired effects such as instrument noise and an imperfect detector response
N.J. McCormick
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Phaseless Parametric Inversion for System Calibration and Obtaining Prior Information
IEEE Access, 2019 Electromagnetic inversion systems require that the experimental data be calibrated to the computational inversion model being used. In addition, accurate prior information provided to the inversion algorithm leads to higher-quality images.
Colin Gilmore +5 more
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Estimating Nuisance Parameters in Inverse Problems
, 2012 Many inverse problems include nuisance parameters which, while not of direct interest, are required to recover primary parameters. Structure present in these problems allows efficient optimization strategies - a well known example is variable projection,
Aleksandr Y Aravkin +17 more
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Ensemble Kalman filter for neural network based one-shot inversion
, 2020 We study the use of novel techniques arising in machine learning for inverse problems. Our approach replaces the complex forward model by a neural network, which is trained simultaneously in a one-shot sense when estimating the unknown parameters from ...
Guth, Philipp A. +2 more
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