The contributions by leading experts in this book focus on a variety of topics of current interest related to information-based complexity, ranging from function approximation, numerical integration, numerical methods for the sphere, and algorithms with random information, to Bayesian probabilistic numerical methods and numerical methods for stochastic differential equations.
Presents the state-of-the-art around information-based complexity
Includes contributions by leading experts in the field
Covers both theoretical and numerical results as well as their applications
Fred J. Hickernell, Illinois Institute of Technology, USA; Peter Kritzer, Johann Radon Institute, Austria.