Advanced Engineering Mathematics : Mathematical Methods

    Advanced Engineering Mathematics : Mathematical Methods (English, Paperback, Erwin Kreyszig, A. Ramakrishna Prasad)

    Advanced Engineering Mathematics : Mathematical Methods  (English, Paperback, Erwin Kreyszig, A. Ramakrishna Prasad)

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    • Language: English
    • Binding: Paperback
    • Publisher: Wiley
    • ISBN: 9788126543885, 8126543884
    • Edition: 2014
    • Pages: 560
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  • Description
    Engineering Mathematics is an essential tool for describing and analyzing engineering processes and systems. Mathematics also enables precise representation and communication of knowledge. Mathematical Methods fulfills the need for a book that not only effectively explains the concepts but also aids in visualizing the underlying geometric interpretation. Every chapter has easy to follow explanations of the theory and numerous step-by-step solved problems and examples. The questions have been hand-picked from the previous years question papers and are suitable to the current pattern of questions asked. Extreme care has been taken to provide careful and correct mathematics, outstanding exercises and helpful worked examples.

    Interpolation and Curve FittingNumerical TechniquesFourier SeriesFourier TransformsPartial Differential Equations and Their ApplicationsVector Calculus and Its Applications
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    Book Details
    • Publication Year
      • 2014 July
    • Table of Contents
      • Chapter 1 Interpolation and Curve Fitting
        1.1 Introduction
        1.2 Finite Differences
        1.3 Interpolation
        1.4 Error in Polynomial Interpolation
        1.5 Lagrange’s Interpolation Formula for Unequal Intervals
        1.6 Spline Interpolation
        1.7 Curve Fitting

        Chapter 2 Numerical Techniques
        2.1 Introduction
        2.2 Graphical Method
        2.3 Bisection Method
        2.4 Method of False Position Method (Regula - Falsi Method)
        2.5 Iteration Method
        2.6 Newton - Raphson Method
        2.7 Matrix Decomposition Methods (LU Decomposition Method)
        2.8 Gauss - Seidel and Jacobi Iteration Method
        2.9 Numerical Differentiation
        2.10 Numerical Integration
        2.11 Solution of Ordinary Differential Equations by Taylor’s Series Method
        2.12 Picard’s Method
        2.13 Solution of Ordinary Differential Equation by Euler’s Method
        2.14 Solution of Ordinary Differential Equation by Runge - Kutta Methods
        2.15 Predictor - Corrector Methods

        Chapter 3 Fourier Series
        3.1 Introduction
        3.2 Limit of a Function
        3.3 Continuity
        3.4 Periodic Functions
        3.5 Fourier Series
        3.6 Dirichlet’s Conditions
        3.7 Euler’s Formulae
        3.8 Jump of a Function
        3.9 Fourier Series for Discontinuous Functions
        3.10 Even and Odd Functions
        3.11 Change of Interval
        3.12 Half - Range Series

        Chapter 4 Fourier Transforms
        4.1 Introduction
        4.2 Integral Transforms
        4.3 Fourier Integral
        4.4 Complex Form of Fourier Integral
        4.5 Fourier Transforms and Inversion Transforms
        4.6 Finite Fourier Transforms and Their Inverse
        4.7 Parseval’s Identity
        4.8 Applications of Fourier Transforms

        Chapter 5 Partial Differential Equations and Their Applications
        5.1 Introduction
        5.2 Formation of Partial Differential Equations
        5.3 Solution of Partial Differential Equations of First Order
        5.4 Solution of Linear PDEs
        5.5 Non - Linear Partial Differential Equations of First Order
        5.6 Classification of Second - order PDEs
        5.7 Equations Reducible to Standard Forms
        5.8 Charpit’s Method
        5.9 Method of Separation of Variables
        5.10 Solution of One - Dimensional Wave Equation
        5.11 Solution to Two - Dimensional Wave Equation
        5.12 Solution of One - Dimensional Heat Equation
        5.13 Steady Two - Dimensional Heat Problems: Laplace’s Equation
        5.14 Solution of Laplace Equation in Two Dimensions

        Chapter 6 Vector Calculus and Its Applications
        6.1 Introduction
        6.2 Vector Algebra
        6.3 Differentiation of a Vector
        6.4 Gradient of a Scalar Point Function
        6.5 Divergence and Curl
        6.6 Flux, Solenoidal Vector, Irrotational Vector, Conservative Vector Field, Scalar Potential
        6.7 Vector Integration
        6.8 Surface and Volume Integrals
        6.9 Green’s Theorem in the Plane
        6.10 Gauss Divergence Theorem
        6.11 Stokes’ Theorem

        Important Points and Formulas
        Question Paper 2014

    • Author
      • Erwin Kreyszig
    • Authored By
      • A. Ramakrishna Prasad
    Series & Set Details
    • Series Name
      • WIND
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