Optimization and Regularization for Computational Inverse Problems and Applications

Edited by Yanfei Wang (), Changchun Yang () and Anatoly G. Yagola ()

in Springer Books from Springer

Date: 2011
ISBN: 978-3-642-13742-6
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Chapters in this book:

Ch Chapter 1 Inverse Problems, Optimization and Regularization: A Multi-Disciplinary Subject

Yanfei Wang and Changchun Yang

Ch Chapter 10 Some Reconstruction Methods for Inverse Scattering Problems

Jijun Liu and Haibing Wang

Ch Chapter 11 Inverse Problems of Molecular Spectra Data Processing

Gulnara Kuramshina

Ch Chapter 12 Numerical Inversion Methods in Geoscience and Quantitative Remote Sensing

Yanfei Wang and Xiaowen Li

Ch Chapter 13 Pseudo-Differential Operator and Inverse Scattering of Multidimensional Wave Equation

Hong Liu and Li He

Ch Chapter 14 Tikhonov Regularization for Gravitational Lensing Research

Boris Artamonov, Ekaterina Koptelova, Elena Shimanovskaya and Anatoly G. Yagola

Ch Chapter 2 Ill-Posed Problems and Methods for Their Numerical Solution

Anatoly G. Yagola

Ch Chapter 3 Inverse Problems with A Priori Information

Vladimir V. Vasin

Ch Chapter 4 Regularization of Naturally Linearized Parameter Identification Problems and the Application of the Balancing Principle

Hui Cao and Sergei Pereverzyev

Ch Chapter 5 Extrapolation Techniques of Tikhonov Regularization

Tingyan Xiao, Yuan Zhao and Guozhong Su

Ch Chapter 6 Modified Regularization Scheme with Application in Reconstructing Neumann-Dirichlet Mapping

Pingli Xie and Jin Cheng

Ch Chapter 7 Gradient Methods for Large Scale Convex Quadratic Functions

Yaxiang Yuan

Ch Chapter 8 Convergence Analysis of Nonlinear Conjugate Gradient Methods

Yuhong Dai

Ch Chapter 9 Full Space and Subspace Methods for Large Scale Image Restoration

Yanfei Wang, Shiqian Ma and Qinghua Ma

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DOI: 10.1007/978-3-642-13742-6

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