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SIAMSC
2011
219views more  SIAMSC 2011»
13 years 2 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»
13 years 6 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
ASIACRYPT
2001
Springer
14 years 1 days ago
The Modular Inversion Hidden Number Problem
We study a class of problems called Modular Inverse Hidden Number Problems (MIHNPs). The basic problem in this class is the following: Given many pairs xi, msbk (α + xi)−1 mod p...
Dan Boneh, Shai Halevi, Nick Howgrave-Graham
JDA
2007
156views more  JDA 2007»
13 years 7 months ago
A linear time algorithm for the inversion median problem in circular bacterial genomes
In the median problem, we are given a distance or dissimilarity measure d, three genomes G1, G2, and G3, and we want to find a genome G (a median) such that the sum 3 i=1 d(G, Gi...
Enno Ohlebusch, Mohamed Ibrahim Abouelhoda, Kathri...
EVOW
2003
Springer
14 years 23 days ago
Hybrid Evolution Strategy-Downhill Simplex Algorithm for Inverse Light Scattering Problems
The rough surface inverse scattering problem is approached with a combination of evolutionary strategies and the simplex method. The surface, assumed one-dimensional and perfectly ...
Demetrio Macías, Gustavo Olague, Eugenio R....