Higher Ed. and Vocational >> Engineering and Computer Science >> Core Engineering >> Numerical Analysis


Applied Numerical Analysis Using MATLAB

Applied Numerical Analysis Using MATLAB

Author(s):
  • Laurene V. Fausett
    • Author: Laurene V. Fausett
    • ISBN:9788131728536
    • 10 Digit ISBN:8131728536
    • Price:Rs. 1185.00
    • Pages:688
    • Imprint:Pearson Education
    • Binding:Paperback
    • Status:Not Available


    Ratings:

    This text is appropriate for undergraduate courses on numerical methods and numerical analysis found in engineering, mathematics & computer science departments.



    Each chapter uses introductory problems from specific applications. These easy-to-understand problems clarify for the reader the need for a particular mathematical technique. Numerical techniques are explained with an emphasis on why they work.


    Table of Content

    1. Foundations
    2. Functions of One Variable
    3. Solving Linear Systems: Direct Methods
    4. LU and QR Factorization
    5. Eigenvalues and Eigenvectors
    6. Solving Linear Systems: Iterative Methods
    7. Nonlinear Functions of Several Variables
    8. Interpolation
    9. Approximation
    10. Fourier Methods
    11. Numerical Differentiation and Integration
    12. Ordinary Differential Equations: Fundamentals
    13. ODE: Systems, Stiffness, Stability
    14. ODE: Boundary-Value Problems
    15. Partial Differential Equations

    Salient Features

    • Full-page overview for each chapter – Includes two applications to introduce each chapter (except the first introductory chapter)
    • End-of-chapter “Beyond the Basics” or “Further Topics” – Introduce more advanced methods, often including those used by MATLAB and other professionally developed software packages.
    • Chapter Wrap-Up – Includes a summary of the formulas for the basic methods presented in the chapter, suggestions for further reading, and several types of exercises.
    • Practice the Techniques problems – Present fairly straightforward problems that encourage “practice by hand” or verification of simple MATLAB programs.