Test Cover Image of:  Multivariate Algorithms and Information-Based Complexity

Multivariate Algorithms and Information-Based Complexity

Edited by: Fred J. Hickernell and Peter Kritzer

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

Author Information

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

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Audience: Researchers and graduate students in applied and numerical mathematics and in computer science.

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