图书Inverse Problem Theory and Methods for Model Parameter Estimation 介绍、书评、论坛及推荐
Inverse_Problem_Theory_and_Methods_for_Model_Parameter_Estimation-A_Tarantola-2 热度: 1987-Inverse Problem Theory-Methods for Data Fitting and Model Parameter Estimation 热度: a general probabilistic model for group independent component analysis and its estimation methods ...
Inverse problem theory and methods for model parameter estimation =:模型参数估计的反问题理论与方法 喜欢 0 阅读量: 582 作者:Tarantola,Albert 关键词: Mathematical models Parameter estimation Inverse problems (Differential equations 出版时间: 2009
The following notes are complements for the book Inverse Problem Theory and Methods for Model Parameter EstimationTarantola, Albert
Tarantola A (2005) Inverse problem theory and methods for model parameter estimation. SIAM Book MATH Google Scholar Tarantola A, Valette B (1982) Generalized nonlinear inverse problems solved using the least squares criterion. Reviews of Geophysics 20(2):219–232 Article MathSciNet Google Scholar...
Regularization theory Computational methods for inverse problems Imaging techniques Data analysis Data assimilation Biomedical applications Nondestructive testing Inverse problems in seismology Inverse problems in underwater acoustics Remote sensing Parameter estimation problem ...
Inverse problems arise naturally in many branches of science and engineering where the values of some model parameters must be obtained from the observed data. In the recent years, theory and applications of inverse problems have undergone a tremendous growth. They can be formulated in many mathemat...
- 《International Journal for Numerical Methods in Engineering》 被引量: 220发表: 2009年 An iterative thresholding algorithm for linear inverse problems with multi-constraints and its applications In this paper, we will present a generalization for a minimization problem from I. Daubechies, M. Def...
(\alpha >0\). This immediately gives rise to the question which operator in the family should be chosen for the reconstruction, i.e how to choose the parameter\(\alpha \). Usually the starting point of deterministic error analysis in regularization theory is the following splitting of the ...
generalized Uzawa-SOR (GUSOR) method for solving augmented systems. They prove the convergence of the proposed method under suitable restrictions on the iteration parameters and provide some numerical experiments to show that their proposed method has faster convergence rate than other methods in the ...