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    Numerical Methods and Methods of Approximation in Science and Engineering

    Numerical Methods and Methods of Approximation in Science and Engineering

    Af
    Bog E-bog
    • Format
    • Bog, hardback
    • Engelsk

    Beskrivelse

    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 coursework, and use of tools such as FEA and CFD

    Presents numerous detailed examples and problems, and a Solutions Manual for instructors

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    Detaljer
    • SprogEngelsk
    • Sidetal498
    • Udgivelsesdato05-11-2018
    • ISBN139780367136727
    • Forlag Crc Press
    • FormatHardback
    Størrelse og vægt
  • Vægt1052 g
    • coffee cup img
    10 cm
    book img
    17,8 cm
    25,4 cm

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    Matrices Convergence Newton-Raphson method Numerical solutions Numerical integration Fourier series Graphical methods Polynomial interpolation Jacobi method Finite Difference Methods Finite Difference Approximation Approximation Quadrature Accuracy of Numerical Solution Backward Difference Method Backward Difference Backward Difference Approximation Central Difference Approximation Arbitrary Periodic Function Central Difference Method Difference Approximation Discrete Data Points Gauss Elimination Forward Difference Fourier Approximation Fourier Series Approximation Fundamental Frequency Discrete Data Set Linear Simultaneous Algebraic Equations Lagrange Interpolating Polynomials Linear Systems Using the Inverse Fourier Series Representation matrix algebra Gauss Jordan Method Nonlinear Simultaneous Equations Incremental Search Method Taylor series expansions Rectangular Wave Representative Mathematical Models Piecewise Linear Interpolation Root-finding methods Truncation Errors Weight Factors
    Machine Name: SAXO080