Randomized algorithms for total least squares problems
Randomized algorithms for total least squares problems is a scholarly work, published in 2018 in ''Numerical Linear Algebra with Applications''. The main subjects of the publication include probabilistic logic, non-linear least squares, randomized algorithm, regularization, generalized least squares, rank, Probabilistic analysis of algorithms, least-squares function approximation, inverse problem, statistics, compressed sensing, mathematics, Total least squares, and algorithm. The authors analyze the accuracy of the algorithm randomized truncated total least squares and perform numerical experiments to demonstrate the efficiency of the authors' randomized algorithms.