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Adaptive stochastic methods in computational mathematics and mechanics

This monograph develops adaptive stochastic methods in computational mathematics. The authors discuss the basic ideas of the algorithms and ways to analyze their properties and efficiency. Methods of evaluation of multidimensional integrals and solutions of integral equations are illustrated by mult...

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Bibliographic Details
Main Author: Arseniev, Dmitry G.
Other Authors: Ivanov, Vladimir M., Korenevsky, Maxim L.
Format: eBook
Language:English
Published: Berlin ; Boston De Gruyter 2018
Subjects:
Physics / Computational Physics
Mathematik / Numerik Und Wissenschaftliches Rechnen
Monte-carlo-integration
Mathematics / Numerical And Computational Mathematics
Engineering / Mechanical Engineering / Mechanics
Physik / Computational Physics
Adaptive Control
Computermathematik
Technik / Maschinenbau / Mechanik
Online Access:
Collection: DeGruyter MPG Collection - Collection details see MPG.ReNa
Description
Summary:This monograph develops adaptive stochastic methods in computational mathematics. The authors discuss the basic ideas of the algorithms and ways to analyze their properties and efficiency. Methods of evaluation of multidimensional integrals and solutions of integral equations are illustrated by multiple examples from mechanics, theory of elasticity, heat conduction and fluid dynamics.
Physical Description:XII, 278 Seiten
ISBN:978-3-11-055364-2

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