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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Main Author: Arseniev, Dmitry G.
Other Authors: Ivanov, Vladimir M., Korenevsky, Maxim L.
Format: eBook
Language:English
Published: Berlin ; Boston De Gruyter 2018
Subjects:
Online Access:
Collection: DeGruyter MPG Collection - Collection details see MPG.ReNa
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