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...
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...
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...
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...
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 ...