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Adaptive stochastic methods : in computational mathematics and mechanics

By: Contributor(s): Material type: TextTextPublication details: Berlin : De Gruyter, ©2018.Description: xi, 278 p. : ill. (some col.) ; 25 cm (Hardbound)ISBN:
  • 9783110553642
Subject(s): DDC classification:
  • 519.22 ARS / B
LOC classification:
  • QA274 .A78 2018
Summary: "This monograph is devoted to developing adaptive stochastic methods of computational mathematics with the use of adaptively controlled computational procedures. We consider the base ideas of the algorithms, ways to synthesise them, and analyse their properties and efficiency while evaluating multidimensional integrals and solving integral equations of the theory of elasticity and the theory of heat conduction. The key feature of the approaches and results presented in this book consists of a comprehensive analysis of mechanisms of utilisation of adaptive control in statistical evaluation procedures, which makes them converge much faster. This book is intended for all students of numerical methods, mathematical statistics, and methods of statistical simulation, as well as for specialists in the fields of computational mathematics and mechanics"--Page v.
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Item type Current library Collection Call number Status Date due Barcode
Book Book IIT - Dharwad MAT 519.22 ARS / B (Browse shelf(Opens below)) Available 3832

Includes bibliographical references and index.

"This monograph is devoted to developing adaptive stochastic methods of computational mathematics with the use of adaptively controlled computational procedures. We consider the base ideas of the algorithms, ways to synthesise them, and analyse their properties and efficiency while evaluating multidimensional integrals and solving integral equations of the theory of elasticity and the theory of heat conduction. The key feature of the approaches and results presented in this book consists of a comprehensive analysis of mechanisms of utilisation of adaptive control in statistical evaluation procedures, which makes them converge much faster. This book is intended for all students of numerical methods, mathematical statistics, and methods of statistical simulation, as well as for specialists in the fields of computational mathematics and mechanics"--Page v.

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