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Lattice Rules = Numerical Integration, Approximation, and Discrepancy /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Lattice Rules/ by Josef Dick, Peter Kritzer, Friedrich Pillichshammer.
Reminder of title:
Numerical Integration, Approximation, and Discrepancy /
Author:
Dick, Josef.
other author:
Kritzer, Peter.
Description:
XVI, 580 p. 32 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Numerical analysis. -
Online resource:
https://doi.org/10.1007/978-3-031-09951-9
ISBN:
9783031099519
Lattice Rules = Numerical Integration, Approximation, and Discrepancy /
Dick, Josef.
Lattice Rules
Numerical Integration, Approximation, and Discrepancy /[electronic resource] :by Josef Dick, Peter Kritzer, Friedrich Pillichshammer. - 1st ed. 2022. - XVI, 580 p. 32 illus. in color.online resource. - Springer Series in Computational Mathematics,582198-3712 ;. - Springer Series in Computational Mathematics,48.
Introduction -- Integration of Smooth Periodic Functions -- Constructions of Lattice Rules -- Modified Construction Schemes -- Discrepancy of Lattice Point Sets -- Extensible Lattice Point Sets -- Lattice Rules for Nonperiodic Integrands -- Intrgration with Respect to Probability Measures -- Integration of Analytic Functions -- Korobov's p-Sets -- Lattice Rules in the Randomized Setting -- Stability of Lattice Rules -- L2-Approximation Using Lattice Rules -- L∞-Approximation Using Lattice Rules -- Multiple Rank-1 Lattice Point Sets -- Fast QMC Matrix-Vector Multiplication -- Partial Diffeential Equations With Random Coefficients -- Numerical Experiments for Lattice Rule Construction Algorithms -- References -- Index.
Lattice rules are a powerful and popular form of quasi-Monte Carlo rules based on multidimensional integration lattices. This book provides a comprehensive treatment of the subject with detailed explanations of the basic concepts and the current methods used in research. This comprises, for example, error analysis in reproducing kernel Hilbert spaces, fast component-by-component constructions, the curse of dimensionality and tractability, weighted integration and approximation problems, and applications of lattice rules.
ISBN: 9783031099519
Standard No.: 10.1007/978-3-031-09951-9doiSubjects--Topical Terms:
527939
Numerical analysis.
LC Class. No.: QA297-299.4
Dewey Class. No.: 518
Lattice Rules = Numerical Integration, Approximation, and Discrepancy /
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Introduction -- Integration of Smooth Periodic Functions -- Constructions of Lattice Rules -- Modified Construction Schemes -- Discrepancy of Lattice Point Sets -- Extensible Lattice Point Sets -- Lattice Rules for Nonperiodic Integrands -- Intrgration with Respect to Probability Measures -- Integration of Analytic Functions -- Korobov's p-Sets -- Lattice Rules in the Randomized Setting -- Stability of Lattice Rules -- L2-Approximation Using Lattice Rules -- L∞-Approximation Using Lattice Rules -- Multiple Rank-1 Lattice Point Sets -- Fast QMC Matrix-Vector Multiplication -- Partial Diffeential Equations With Random Coefficients -- Numerical Experiments for Lattice Rule Construction Algorithms -- References -- Index.
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Lattice rules are a powerful and popular form of quasi-Monte Carlo rules based on multidimensional integration lattices. This book provides a comprehensive treatment of the subject with detailed explanations of the basic concepts and the current methods used in research. This comprises, for example, error analysis in reproducing kernel Hilbert spaces, fast component-by-component constructions, the curse of dimensionality and tractability, weighted integration and approximation problems, and applications of lattice rules.
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