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New Trends in Parameter Identification for Mathematical Models
Title
New Trends in Parameter Identification for Mathematical Models [electronic resource] / edited by Bernd Hofmann, Antonio Leitão, Jorge P. Zubelli.
ISBN
9783319708249
Publication
Cham : Springer International Publishing : Imprint: Birkhäuser, 2018.
Physical Description
1 online resource (VIII, 338 p.) 107 illus., 99 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
The Proceedings volume contains 16 contributions to the IMPA conference “New Trends in Parameter Identification for Mathematical Models”, Rio de Janeiro, Oct 30 – Nov 3, 2017, integrating the “Chemnitz Symposium on Inverse Problems on Tour”. This conference is part of the “Thematic Program on Parameter Identification in Mathematical Models” organized at IMPA in October and November 2017. One goal is to foster the scientific collaboration between mathematicians and engineers from the Brazialian, European and Asian communities. Main topics are iterative and variational regularization methods in Hilbert and Banach spaces for the stable approximate solution of ill-posed inverse problems, novel methods for parameter identification in partial differential equations, problems of tomography , solution of coupled conduction-radiation problems at high temperatures, and the statistical solution of inverse problems with applications in physics.
Variant and related titles
Springer ebooks.
Other formats
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
May 07, 2018
Series
Trends in Mathematics,
Contents
Posterior contraction in Bayesian inverse problems under Gaussian priors
Convex regularization of discrete-valued inverse problems
Algebraic reconstruction of source and attenuation in SPECT using first scattering measurements
On l1-regularization under continuity of the forward operator in weaker topologies
On self-regularization of ill-posed problems in Banach spaces by projection methods
Monotonicity-based regularization for phantom experiment data in electrical impedance tomography
An SVD in Spherical Surface Wave Tomography
Numerical Studies of Recovery Chances for a Simplified EIT Problem
Bayesian updating in the determination of forces in Euler-Bernoulli beams
On nonstationary iterated Tikhonov methods for ill posed equation in Banach spaces
The product midpoint rule for Abel-type integral equations of the first kind with perturbed data
Heuristic parameter choice in Tikhonov method form minimizers of the quasi-optimality function
Modification of Iterative Tikhonov Regularization Motivated by a Problem of Identification of Laser Beam Quality Parameters
Tomographic terahertz imaging using sequential subspace optimization
Adaptivity and Oracle Inequalities in Linear Statistical Inverse Problems: a (numerical) survey
Relaxing Alternating Direction Method of Multipliers (ADMM) algorithm for linear inverse problems.
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