Multivariate Algorithms and Information-Based Complexity

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.

Autorentext

Fred J. Hickernell, Illinois Institute of Technology, USA; Peter Kritzer, Johann Radon Institute, Austria.

Zusammenfassung

The series is devoted to the publication of high-level monographs, surveys and proceedings which cover the whole spectrum of computational and applied mathematics.

The books of this series are addressed to both specialists and advanced students.

Interested authors may submit book proposals to the Managing Editor or to any member of the Editorial Board.

**Managing Editor
Ulrich Langer, RICAM, Linz, Austria; Johannes Kepler University Linz, Austria

Editorial Board
Hansjörg Albrecher, University of Lausanne, Switzerland
Ronald H. W. Hoppe, University of Houston, USA
Karl Kunisch, RICAM, Linz, Austria; University of Graz, Austria
Harald Niederreiter, RICAM, Linz, Austria
Otmar Scherzer, RICAM, Linz, Austria; University of Vienna, Austria
Christian Schmeiser, University of Vienna, Austria