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MOC
2010
14 years 4 months ago
On a class of frozen regularized Gauss-Newton methods for nonlinear inverse problems
In this paper we consider a class of regularized Gauss-Newton methods for solving nonlinear inverse problems for which an a posteriori stopping rule is proposed to terminate the it...
Qinian Jin
65
Voted
CSC
2006
14 years 11 months ago
Sequential and Parallel Algorithms for the Inverse Toeplitz Singular Value Problem
When the Inverse Additive Singular Value Problem (IASVP) involves Toeplitz
Pedro Alonso, Georgina Flores Becerra, Antonio M. ...
SIAMSC
2011
219views more  SIAMSC 2011»
14 years 4 months ago
Fast Algorithms for Bayesian Uncertainty Quantification in Large-Scale Linear Inverse Problems Based on Low-Rank Partial Hessian
We consider the problem of estimating the uncertainty in large-scale linear statistical inverse problems with high-dimensional parameter spaces within the framework of Bayesian inf...
H. P. Flath, Lucas C. Wilcox, Volkan Akcelik, Judi...
SIAMSC
2010
159views more  SIAMSC 2010»
14 years 8 months ago
Parameter and State Model Reduction for Large-Scale Statistical Inverse Problems
A greedy algorithm for the construction of a reduced model with reduction in both parameter and state is developed for efficient solution of statistical inverse problems governed b...
Chad Lieberman, Karen Willcox, Omar Ghattas
ICDE
2006
IEEE
108views Database» more  ICDE 2006»
15 years 11 months ago
On the Inverse Classification Problem and its Applications
In this paper, we discuss the inverse classification problem, in which we desire to define the features of an incomplete record in such a way that will result in a desired class l...
Charu C. Aggarwal, Chen Chen, Jiawei Han