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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      Book details

      Publisher CRC Press
      Published 11 May 2018
      ISBN-13 9780367136727
      978-0367136727
      ISBN-10 0367136724

      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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