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...
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...
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...