An Introduction to Randomized Algorithms for Matrix Computations
The emergence of massive data sets, over the past twenty or so years, has
lead to the development of Randomized Numerical Linear Algebra.
Fast and accurate randomized matrix algorithms are being designed for
applications like machine learning, population genomics, astronomy, nuclear engineering,and optimal experimental design.