Adaptive Stochastic Methods : : In Computational Mathematics and Mechanics / / Dmitry G. Arseniev, Vladimir M. Ivanov, Maxim L. Korenevsky.

• Superior document: Title is part of eBook package: De Gruyter DG Plus eBook-Package 2018
• VerfasserIn: Arseniev, Dmitry G.,; Ivanov, Vladimir M.,; Korenevsky, Maxim L.,
• TeilnehmendeR: Kolchin, Andrei V.
• Place / Publishing House: Berlin ;, Boston : : De Gruyter, , [2018]; ©2018
• Year of Publication: 2018
• Language: English
• Physical Description: 1 online resource (XII, 278 p.)

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...

Table of Contents

• Frontmatter
• Preface
• Contents
• Introduction: Statistical Computing Algorithms as a Subject of Adaptive Control
• Part I: Evaluation of Integrals
• 1. Fundamentals of the Monte Carlo Method to Evaluate Definite Integrals
• 2. Sequential Monte Carlo Method and Adaptive Integration
• 3. Methods of Adaptive Integration Based on Piecewise Approximation
• 4. Methods of Adaptive Integration Based on Global Approximation
• 5. Numerical Experiments
• 6. Adaptive Importance Sampling Method Based on Piecewise Constant Approximation
• Part II: Solution of Integral Equations
• 7. Semi-Statistical Method of Solving Integral Equations Numerically
• 8. Problem of Vibration Conductivity
• 9. Problem on Ideal-Fluid Flow Around an Airfoil
• 10. First Basic Problem of Elasticity Theory
• 11. Second Basic Problem of Elasticity Theory
• 12. Projectional and Statistical Method of Solving Integral Equations Numerically
• Afterword
• Bibliography
• Index