1st Edition

Mathematical Theory of Subdivision Finite Element and Wavelet Methods

    246 Pages 47 B/W Illustrations
    by Chapman & Hall

    246 Pages 47 B/W Illustrations
    by Chapman & Hall

    This book provides good coverage of the powerful numerical techniques namely, finite element and wavelets, for the solution of partial differential equation to the scientists and engineers with a modest mathematical background. The objective of the book is to provide the necessary mathematical foundation for the advanced level applications of these numerical techniques. The book begins with the description of the steps involved in finite element and wavelets-Galerkin methods. The knowledge of Hilbert and Sobolev spaces is needed to understand the theory of finite element and wavelet-based methods. Therefore, an overview of essential content such as vector spaces, norm, inner product, linear operators, spectral theory, dual space, and distribution theory, etc. with relevant theorems are presented in a coherent and accessible manner. For the graduate students and researchers with diverse educational background, the authors have focused on the applications of numerical techniques which are developed in the last few decades. This includes the wavelet-Galerkin method, lifting scheme, and error estimation technique, etc.

    Features:

    • Computer programs in Mathematica/Matlab are incorporated for easy understanding of wavelets.

    • Presents a range of workout examples for better comprehension of spaces and operators.

    • Algorithms are presented to facilitate computer programming.

    • Contains the error estimation techniques necessary for adaptive finite element method.

    This book is structured to transform in step by step manner the students without any knowledge of finite element, wavelet and functional analysis to the students of strong theoretical understanding who will be ready to take many challenging research problems in this area.

    Preface

    About the authors

    1. Overview of finite element method

      1. Some common governing differential equations
      2. Basic steps of finite element method
      3. Element stiffness matrix for a bar
      4. Element stiffness matrix for single variable 2d element
      5. Element stiffness matrix for a beam element
      6. References for further reading

    2. Wavelets

      1. Wavelet basis functions
      2. Wavelet-Galerkin method
      3. Daubechies wavelets for boundary and initial value problems
      4. References for further reading

    3. Fundamentals of vector spaces

      1. Introduction
      2. Vector spaces
      3. Normed linear spaces
      4. Inner product spaces
      5. Banach spaces
      6. Hilbert spaces
      7. Projection on finite dimensional spaces
      8. Change of basis - Gram-Schmidt othogonalization process
      9. Riesz bases and frame conditions
      10. References for further reading

    4. Operators

      1. Mapping of sets, general concept of functions
      2. Operators
      3. Linear and adjoint operators
      4. Functionals and dual space
      5. Spectrum of bounded linear self-adjoint operator
      6. Classification of differential operators
      7. Existence, uniqueness and regularity of solution
      8. References

    5. Theoretical foundations of the finite element method

      1. Distribution theory
      2. Sobolev spaces
      3. Variational Method
      4. Nonconforming elements and patch test
      5. References for further reading

    6. Wavelet- based methods for differential equations

      1. Fundamentals of continuous and discrete wavelets
      2. Multiscaling
      3. Classification of wavelet basis functions
      4. Discrete wavelet transform
      5. Lifting scheme for discrete wavelet transform
      6. Lifting scheme to customize wavelets
      7. Non-standard form of matrix and its solution
      8. Multigrid method
      9. References for further reading

    7. Error - estimation

      1. Introduction
      2. A-priori error estimation
      3. Recovery based error estimators
      4. Residual based error estimators
      5. Goal oriented error estimators
      6. Hierarchical & wavelet based error estimator
      7. References for further reading

    Appendix

    Biography

    Dr. Sandeep Kumar is serving as Professor in the Department of Mechanical Engineering at Indian Institute of Technology (Banaras Hindu University), Varanasi. He received his Ph.D. degree from Applied Mechanics Department, Indian Institute of Technology Delhi in the year 1999. His field of interests is computational mechanics: wavelets, finite element method, and meshless method, etc.

    Dr. Ashish Pathak is serving as an Assistant Professor in the Department of Mathematics, Institute of Science (Banaras Hindu University). He received his Ph.D. degree from Department of Mathematics, Banaras Hindu University in the year 2009. His research interests include wavelet analysis, functional analysis, and distribution theory.

    Dr. Debashis Khan received his Ph.D. degree in Mechanical Engineering from Indian Institute of Technology Kharagpur in the year 2007. Just after completing his Ph. D. he joined as an Assistant Professor in the Department of Mechanical Engineering at Indian Institute of Technology (Banaras Hindu University) Varanasi and presently he is serving as associate professor in the same department. His research interests include solid mechanics, fracture mechanics, continuum mechanics, finite deformation plasticity, finite element method.