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Adaptive Stochastic Methods (English, Dmitry G. Arseniev | Vladimir M. Ivanov | Maxim L. Korenevsky)
de Gruyter

Adaptive Stochastic Methods (English, Dmitry G. Arseniev | Vladimir M. Ivanov | Maxim L. Korenevsky)

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Specifications

Publisherde Gruyter
LanguageEnglish
ISBN-139783110553642
ISBN-103110553643
AuthorDmitry G. Arseniev | Vladimir M. Ivanov | Maxim L. Korenevsky

Product Description

Here on GlowMirror, you'll find Adaptive Stochastic Methods filed under de Gruyter -- everything you need to know is covered below.

About the Book

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. Contents Part I: Evaluation of Integrals Fundamentals of the M…

ISBN: 9783110553642

Book Insights

What You'll Learn

  • ·In-depth exploration of topics covered in Adaptive Stochastic Methods
  • ·Key concepts explained with clarity and practical examples
  • ·Insights valuable for anyone studying or working in de Gruyter

Who Should Read This

Students and professionals interested in de Gruyter, as well as general readers looking to expand their knowledge.

Key Highlights

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Adaptive Stochastic Methods is available in English on GlowMirror.
Who is the author of Adaptive Stochastic Methods?
Adaptive Stochastic Methods is authored by Dmitry G. Arseniev | Vladimir M. Ivanov | Maxim L. Korenevsky.
Who published Adaptive Stochastic Methods?
Adaptive Stochastic Methods is published by de Gruyter.
How many pages does Adaptive Stochastic Methods have?
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How long does it take to read Adaptive Stochastic Methods?
At an average reading speed of 250 words per minute, reading Adaptive Stochastic Methods takes a few hours to a few days depending on reading pace.
What is Adaptive Stochastic Methods about?
About the Book 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 il...
Is Adaptive Stochastic Methods suitable for beginners?
Whether Adaptive Stochastic Methods is suitable for beginners depends on your background in de Gruyter. Review the product description and specifications above for details on the target audience and difficulty level.
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