Average-Case Analysis of Numerical Problems : Lecture Notes in Mathematics - Klaus Ritter

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Average-Case Analysis of Numerical Problems

By: Klaus Ritter

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Paperback | 1 June 2000

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268 Pages

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23.5 x 15.88 x 1.27

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The average-case analysis of numerical problems is the counterpart of the more traditional worst-case approach. The analysis of average error and cost leads to new insight on numerical problems as well as to new algorithms. The book provides a survey of results that were mainly obtained during the last 10 years and also contains new results. The problems under consideration include approximation/optimal recovery and numerical integration of univariate and multivariate functions as well as zero-finding and global optimization. Background material, e.g. on reproducing kernel Hilbert spaces and random fields, is provided.

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You Can Find This Book In

Non-Fiction Mathematics Applied Mathematics Stochastics Calculus & Mathematical Analysis Functional Analysis & Transforms Numerical Analysis Medicine Medicine in General Differential Calculus & Equations Integral Calculus & Equations Probability & Statistics

Algebra

Introduction Overview Historical and Bibliographical Remarks
Linear Problems: Definitions and a Classical Example Measures on Function Spaces Linear Problems Integration and L 2-Approximation on the Wiener Space
Second-Order Results for Linear Problems Reproducing Kernel Hilbert Spaces Linear Problems with Values in a Hilbert Space Splines and Their Optimality Properties Kriging
Integration and Approximation of Univariate Functions Sacks-Ylvisaker Regularity Conditions Integration under Sacks-Ylvisaker Conditions Approximation under Sacks-Ylvisaker Conditions Unknown Mean and Covariance Kernel Further Smoothness Conditions and Results Local Smoothness and Best Regular Sequences
Linear Problems for Univariate Functions with Noisy Data Optimality of Smoothing Spline Algorithms Integration and Approximation of Univariate Functions Differentiation of Univariate Functions
Integration and Approximation of Multivariate Functions Isotropic Smoothness Tensor Product Problems Tractability or Curse of Dimensionality?
Nonlinear Methods for Linear Problems Nonlinear Algorithms, Adaptive Information, and Varying Cardinality Linear Problems with Gaussian Measures Unknown Local Smoothness Integration of Monotone Functions Computational Complexity of Continuous Problems
Nonlinear Problems Zero Finding Global Optimization
Bibliography
Author Index
Subject Index
Index of Notation
Table of Contents provided by Publisher. All Rights Reserved.

Average-Case Analysis of Numerical Problems

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Paperback

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