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New Trends in Parameter Identification for Mathematical Models

Overview of attention for book
Cover of 'New Trends in Parameter Identification for Mathematical Models'

Table of Contents

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    Book Overview
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    Chapter 1 Posterior Contraction in Bayesian Inverse Problems Under Gaussian Priors
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    Chapter 2 Convex Regularization of Discrete-Valued Inverse Problems
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    Chapter 3 Algebraic Reconstruction of Source and Attenuation in SPECT Using First Scattering Measurements
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    Chapter 4 On ℓ 1 -Regularization Under Continuity of the Forward Operator in Weaker Topologies
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    Chapter 5 On Self-regularization of Ill-Posed Problems in Banach Spaces by Projection Methods
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    Chapter 6 Monotonicity-Based Regularization for Phantom Experiment Data in Electrical Impedance Tomography
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    Chapter 7 An SVD in Spherical Surface Wave Tomography
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    Chapter 8 Numerical Studies of Recovery Chances for a Simplified EIT Problem
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    Chapter 9 Bayesian Updating in the Determination of Forces in Euler-Bernoulli Beams
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    Chapter 10 On Nonstationary Iterated Tikhonov Methods for Ill-Posed Equations in Banach Spaces
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    Chapter 11 The Product Midpoint Rule for Abel-Type Integral Equations of the First Kind with Perturbed Data
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    Chapter 12 Heuristic Parameter Choice in Tikhonov Method from Minimizers of the Quasi-Optimality Function
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    Chapter 13 Modification of Iterative Tikhonov Regularization Motivated by a Problem of Identification of Laser Beam Quality Parameters
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    Chapter 14 Tomographic Terahertz Imaging Using Sequential Subspace Optimization
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    Chapter 15 Adaptivity and Oracle Inequalities in Linear Statistical Inverse Problems: A (Numerical) Survey
  17. Altmetric Badge
    Chapter 16 Relaxing Alternating Direction Method of Multipliers (ADMM) for Linear Inverse Problems
Attention for Chapter 7: An SVD in Spherical Surface Wave Tomography
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Chapter title
An SVD in Spherical Surface Wave Tomography
Chapter number 7
Book title
New Trends in Parameter Identification for Mathematical Models
Published in
arXiv, January 2018
DOI 10.1007/978-3-319-70824-9_7
Book ISBNs
978-3-31-970823-2, 978-3-31-970824-9
Authors

Ralf Hielscher, Daniel Potts, Michael Quellmalz, Hielscher, Ralf, Potts, Daniel, Quellmalz, Michael

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 50%
Student > Ph. D. Student 1 25%
Student > Master 1 25%
Readers by discipline Count As %
Mathematics 2 50%
Earth and Planetary Sciences 1 25%
Engineering 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 June 2017.
All research outputs
#18,575,287
of 23,852,579 outputs
Outputs from arXiv
#459,025
of 990,619 outputs
Outputs of similar age
#315,954
of 446,688 outputs
Outputs of similar age from arXiv
#13,184
of 21,090 outputs
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So far Altmetric has tracked 990,619 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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We're also able to compare this research output to 21,090 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.