Description

Book Synopsis

Numerical Methods and Methods of Approximation in Science and Engineering prepares students and other readers for advanced studies involving applied numerical and computational analysis. Focused on building a sound theoretical foundation, it uses a clear and simple approach backed by numerous worked examples to facilitate understanding of numerical methods and their application. Readers will learn to structure a sequence of operations into a program, using the programming language of their choice; this approach leads to a deeper understanding of the methods and their limitations.

Features:

  • Provides a strong theoretical foundation for learning and applying numerical methods

  • Takes a generic approach to engineering analysis, rather than using a specific programming language

  • Built around a consistent, understandable model for conducting engineering analysis

  • Prepares students for advanced

    Table of Contents

    Preface

    About the Author

    1 Introduction

    2 Linear Simultaneous Algebraic Equations

    3 Nonlinear Simultaneous Equations

    4 Algebraic Eigenvalue Problems

    5 Interpolation and Mapping

    6 Numerical Integration or Quadrature

    7 Curve Fitting

    8 Numerical Differentiation

    9 Numerical Solutions of BVPs

    10 Numerical Solution of Initial Value Problems

    11 Fourier Series

    BIBLIOGRAPHY

    INDEX

Numerical Methods and Methods of Approximation in

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A Hardback by Karan S. Surana

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    View other formats and editions of Numerical Methods and Methods of Approximation in by Karan S. Surana

    Publisher: CRC Press
    Publication Date: 11/5/2018 12:00:00 AM
    ISBN13: 9780367136727, 978-0367136727
    ISBN10: 0367136724
    Also in:
    Computing Digital and IT general topics Technology, Engineering & Agriculture Maths for engineers

    Description

    Book Synopsis

    Numerical Methods and Methods of Approximation in Science and Engineering prepares students and other readers for advanced studies involving applied numerical and computational analysis. Focused on building a sound theoretical foundation, it uses a clear and simple approach backed by numerous worked examples to facilitate understanding of numerical methods and their application. Readers will learn to structure a sequence of operations into a program, using the programming language of their choice; this approach leads to a deeper understanding of the methods and their limitations.

    Features:

    • Provides a strong theoretical foundation for learning and applying numerical methods

    • Takes a generic approach to engineering analysis, rather than using a specific programming language

    • Built around a consistent, understandable model for conducting engineering analysis

    • Prepares students for advanced

      Table of Contents

      Preface

      About the Author

      1 Introduction

      2 Linear Simultaneous Algebraic Equations

      3 Nonlinear Simultaneous Equations

      4 Algebraic Eigenvalue Problems

      5 Interpolation and Mapping

      6 Numerical Integration or Quadrature

      7 Curve Fitting

      8 Numerical Differentiation

      9 Numerical Solutions of BVPs

      10 Numerical Solution of Initial Value Problems

      11 Fourier Series

      BIBLIOGRAPHY

      INDEX

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