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Multi
Regularization Methods in Banach Spaces
Authors: --- --- ---
ISSN: 18653707 ISBN: 9783110255249 9783110255720 9783112204504 3110255723 3112204506 1283627922 9781283627924 3110255243 9786613940377 6613940372 Year: 2012 Volume: 10 Publisher: Berlin Boston

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Abstract

Regularization methods aimed at finding stable approximate solutions are a necessary tool to tackle inverse and ill-posed problems. Inverse problems arise in a large variety of applications ranging from medical imaging and non-destructive testing via finance to systems biology. Many of these problems belong to the class of parameter identification problems in partial differential equations (PDEs) and thus are computationally demanding and mathematically challenging. Hence there is a substantial need for stable and efficient solvers for this kind of problems as well as for a rigorous convergence analysis of these methods. This monograph consists of five parts. Part I motivates the importance of developing and analyzing regularization methods in Banach spaces by presenting four applications which intrinsically demand for a Banach space setting and giving a brief glimpse of sparsity constraints. Part II summarizes all mathematical tools that are necessary to carry out an analysis in Banach spaces. Part III represents the current state-of-the-art concerning Tikhonov regularization in Banach spaces. Part IV about iterative regularization methods is concerned with linear operator equations and the iterative solution of nonlinear operator equations by gradient type methods and the iteratively regularized Gauß-Newton method. Part V finally outlines the method of approximate inverse which is based on the efficient evaluation of the measured data with reconstruction kernels.


Book
Differential Models, Numerical Simulations and Applications
Author:
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This Special Issue includes 12 high-quality articles containing original research findings in the fields of differential and integro-differential models, numerical methods and efficient algorithms for parameter estimation in inverse problems, with applications to biology, biomedicine, land degradation, traffic flows problems, and manufacturing systems.

Keywords

Research & information: general --- Mathematics & science --- conservation laws --- feedback stabilization --- input-to-state stability --- numerical approximations --- nonlocal velocity --- macroscopic models --- traffic data --- gap analysis --- multi-phase models --- Volterra integral equations --- asymptotic-preserving --- numerical stability --- Cellular Potts model --- cell migration --- nucleus deformation --- microchannel device --- regularization theory --- multivariate stochastic processes --- cross-power spectrum --- magnetoencephalography --- MEG --- functional connectivity --- spectral complexity --- soil organic carbon --- RothC --- non-standard integrators --- Exponential Rosenbrock–Euler --- langevin equation --- Mean Field Games system --- kinetic Fokker–Planck equation --- hypoelliptic operators --- Caputo fractional derivative --- Allee effect --- existence and stability --- Hopf bifurcation --- implicit schemes --- optimal design --- soft tissue mechanics --- mutual information --- biaxial experiment --- inverse problems --- information theory --- LWR model --- follow-the-leader model --- phase transition --- creeping --- seepage --- fundamental diagram --- lane discipline --- networks --- aggregation equation --- relaxation limit --- scalar conservation law --- finite volume scheme --- differential equations --- mathematical biology --- microfluidic chip --- applied mathematics --- numerical methods --- computational mathematics --- differential and integro-differential models


Book
Differential Models, Numerical Simulations and Applications
Author:
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

This Special Issue includes 12 high-quality articles containing original research findings in the fields of differential and integro-differential models, numerical methods and efficient algorithms for parameter estimation in inverse problems, with applications to biology, biomedicine, land degradation, traffic flows problems, and manufacturing systems.


Book
Differential Models, Numerical Simulations and Applications
Author:
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

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Bookmark

Abstract

This Special Issue includes 12 high-quality articles containing original research findings in the fields of differential and integro-differential models, numerical methods and efficient algorithms for parameter estimation in inverse problems, with applications to biology, biomedicine, land degradation, traffic flows problems, and manufacturing systems.

Keywords

Research & information: general --- Mathematics & science --- conservation laws --- feedback stabilization --- input-to-state stability --- numerical approximations --- nonlocal velocity --- macroscopic models --- traffic data --- gap analysis --- multi-phase models --- Volterra integral equations --- asymptotic-preserving --- numerical stability --- Cellular Potts model --- cell migration --- nucleus deformation --- microchannel device --- regularization theory --- multivariate stochastic processes --- cross-power spectrum --- magnetoencephalography --- MEG --- functional connectivity --- spectral complexity --- soil organic carbon --- RothC --- non-standard integrators --- Exponential Rosenbrock–Euler --- langevin equation --- Mean Field Games system --- kinetic Fokker–Planck equation --- hypoelliptic operators --- Caputo fractional derivative --- Allee effect --- existence and stability --- Hopf bifurcation --- implicit schemes --- optimal design --- soft tissue mechanics --- mutual information --- biaxial experiment --- inverse problems --- information theory --- LWR model --- follow-the-leader model --- phase transition --- creeping --- seepage --- fundamental diagram --- lane discipline --- networks --- aggregation equation --- relaxation limit --- scalar conservation law --- finite volume scheme --- differential equations --- mathematical biology --- microfluidic chip --- applied mathematics --- numerical methods --- computational mathematics --- differential and integro-differential models --- conservation laws --- feedback stabilization --- input-to-state stability --- numerical approximations --- nonlocal velocity --- macroscopic models --- traffic data --- gap analysis --- multi-phase models --- Volterra integral equations --- asymptotic-preserving --- numerical stability --- Cellular Potts model --- cell migration --- nucleus deformation --- microchannel device --- regularization theory --- multivariate stochastic processes --- cross-power spectrum --- magnetoencephalography --- MEG --- functional connectivity --- spectral complexity --- soil organic carbon --- RothC --- non-standard integrators --- Exponential Rosenbrock–Euler --- langevin equation --- Mean Field Games system --- kinetic Fokker–Planck equation --- hypoelliptic operators --- Caputo fractional derivative --- Allee effect --- existence and stability --- Hopf bifurcation --- implicit schemes --- optimal design --- soft tissue mechanics --- mutual information --- biaxial experiment --- inverse problems --- information theory --- LWR model --- follow-the-leader model --- phase transition --- creeping --- seepage --- fundamental diagram --- lane discipline --- networks --- aggregation equation --- relaxation limit --- scalar conservation law --- finite volume scheme --- differential equations --- mathematical biology --- microfluidic chip --- applied mathematics --- numerical methods --- computational mathematics --- differential and integro-differential models

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