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Inverse problems and applications

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Cover of 'Inverse problems and applications'

Table of Contents

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    Book Overview
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    Chapter 1 Iteratively Regularized Gauss-Newton Methods under Random Noise
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    Chapter 2 Methods of Quantitative Reconstruction of Shapes and Refractive Indices from Experimental data
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    Chapter 3 A posteriori error estimate in the lagrangian setting for an inverse problem based on a new formulation of Maxwell’s system
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    Chapter 4 Determination of Permittivity from Propagation Constant Measurements in Optical Fibers
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    Chapter 5 Eigenmodes of Linearised Problems of Scattering and Generation of Oscillations on Cubically Polarisable Layers
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    Chapter 6 Time Resolution in Transient Kinetics
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    Chapter 7 Reconstruction of Dielectric Constants in a Cylindrical Waveguide
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    Chapter 8 Time-adaptive FEM for distributed parameter identification in mathematical model of HIV infection with drug therapy
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    Chapter 9 The layer-stripping algorithm for reconstruction of dielectrics in an optical fiber
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    Chapter 10 Simultaneous Reconstruction of Maxwell’s Coefficients from Backscattering Data
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    Chapter 11 On the Solution of Forward and Inverse Problems of Voltammetry
Attention for Chapter 1: Iteratively Regularized Gauss-Newton Methods under Random Noise
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Chapter title
Iteratively Regularized Gauss-Newton Methods under Random Noise
Chapter number 1
Book title
Inverse Problems and Applications
Published by
Springer, Cham, January 2015
DOI 10.1007/978-3-319-12499-5_1
Book ISBNs
978-3-31-912498-8, 978-3-31-912499-5
Authors

Mikhail Yu. Kokurin, Anatoly B. Bakushinsky

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