Advanced Engineering Mathematics with MATLAB / Edition 4

Advanced Engineering Mathematics with MATLAB / Edition 4

by Dean G. Duffy
ISBN-10:
1498739644
ISBN-13:
9781498739641
Pub. Date:
12/22/2016
Publisher:
Taylor & Francis
ISBN-10:
1498739644
ISBN-13:
9781498739641
Pub. Date:
12/22/2016
Publisher:
Taylor & Francis
Advanced Engineering Mathematics with MATLAB / Edition 4

Advanced Engineering Mathematics with MATLAB / Edition 4

by Dean G. Duffy

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Overview

Advanced Engineering Mathematics with MATLAB, Fourth Edition builds upon three successful previous editions. It is written for today's STEM (science, technology, engineering, and mathematics) student.

Three assumptions under lie its structure: (1) All students need a firm grasp of the traditional disciplines of ordinary and partial differential equations, vector calculus and linear algebra. (2) The modern student must have a strong foundation in transform methods because they provide the mathematical basis for electrical and communication studies. (3) The biological revolution requires an understanding of stochastic (random) processes. The chapter on Complex Variables, positioned as the first chapter in previous editions, is now moved to Chapter 10.

The author employs MATLAB to reinforce concepts and solve problems that require heavy computation. Along with several updates and changes from the third edition, the text continues to evolve to meet the needs of today's instructors and students.

Features:

  • Complex Variables, formerly Chapter 1, is now Chapter 10.
  • A new Chapter 18: Itô's Stochastic Calculus.
  • Implements numerical methods using MATLAB, updated and expanded
  • Takes into account the increasing use of probabilistic methods in engineering and the physical sciences
  • Includes many updated examples, exercises, and projects drawn from the scientific and engineering literature
  • Draws on the author's many years of experience as a practitioner and instructor
  • Gives answers to odd-numbered problems in the back of the book
  • Offers downloadable MATLAB code at www.crcpress.com

  • Product Details

    ISBN-13: 9781498739641
    Publisher: Taylor & Francis
    Publication date: 12/22/2016
    Series: Advances in Applied Mathematics
    Edition description: New Edition
    Pages: 1004
    Product dimensions: 7.10(w) x 10.20(h) x 2.20(d)

    About the Author

    Dean G. Duffy is a former mathematics instructor at the US Naval Academy and US Military Academy. He spent 25 years working on numerical weather prediction, oceanic wave modeling, and dynamical meteorology at NASA’s Goddard Space Flight Center. Prior to this, he was a numerical weather prediction officer in the US Air Force. He earned his Ph.D. in meteorology from MIT. Dr. Duffy has written several books on transform methods, engineering mathematics, Green’s functions, and mixed boundary value problems.

    Table of Contents

    CLASSIC ENGINEERING MATHEMATICS

    First-Order Ordinary Differential Equations
    Classification of Differential Equations
    Separation of Variables
    Homogeneous Equations
    Exact Equations
    Linear Equations
    Graphical Solutions
    Numerical Methods

    Higher-Order Ordinary Differential Equations
    Homogeneous Linear Equations with Constant Coefficients
    Simple Harmonic Motion
    Damped Harmonic Motion
    Method of Undetermined Coefficients
    Forced Harmonic Motion
    Variation of Parameters
    Euler-Cauchy Equation
    Phase Diagrams
    Numerical Methods

    Linear Algebra
    Fundamentals of Linear Algebra
    Determinants
    Cramer’s Rule
    Row Echelon Form and Gaussian Elimination
    Eigenvalues and Eigenvectors
    Systems of Linear Differential Equations
    Matrix Exponential

    Vector Calculus
    Review
    Divergence and Curl
    Line Integrals
    The Potential Function
    Surface Integrals
    Green’s Lemma
    Stokes’ Theorem
    Divergence Theorem

    Fourier Series
    Fourier Series
    Properties of Fourier Series
    Half-Range Expansions
    Fourier Series with Phase Angles
    Complex Fourier Series
    The Use of Fourier Series in the Solution of Ordinary Differential Equations
    Finite Fourier Series

    The Sturm-Liouville Problem
    Eigenvalues and Eigenfunctions
    Orthogonality of Eigenfunctions
    Expansion in Series of Eigenfunctions
    A Singular Sturm-Liouville Problem: Legendre’s Equation
    Another Singular Sturm-Liouville Problem: Bessel’s Equation
    Finite Element Method

    The Wave Equation
    The Vibrating String
    Initial Conditions: Cauchy Problem
    Separation of Variables
    D’Alembert’s Formula
    Numerical Solution of the Wave Equation

    The Heat Equation
    Derivation of the Heat Equation
    Initial and Boundary Conditions
    Separation of Variables
    Numerical Solution of the Heat Equation

    Laplace’s Equation
    Derivation of Laplace’s Equation
    Boundary Conditions
    Separation of Variables
    Poisson’s Equation on a Rectangle
    Numerical Solution of Laplace’s Equation
    Finite Element Solution of Laplace’s Equation

    TRANSFORM METHODS

    Complex Variables
    Complex Numbers
    Finding Roots
    The Derivative in the Complex Plane: The Cauchy-Riemann Equations
    Line Integrals
    The Cauchy-Goursat Theorem
    Cauchy’s Integral Formula
    Taylor and Laurent Expansions and Singularities
    Theory of Residues
    Evaluation of Real Definite Integrals
    Cauchy’s Principal Value Integral
    Conformal Mapping 

    The Fourier Transform
    Fourier Transforms
    Fourier Transforms Containing the Delta Function
    Properties of Fourier Transforms
    Inversion of Fourier Transforms
    Convolution
    Solution of Ordinary Differential Equations
    The Solution of Laplace’s Equation on the Upper Half-Plane
    The Solution of the Heat Equation

    The Laplace Transform
    Definition and Elementary Properties
    The Heaviside Step and Dirac Delta Functions
    Some Useful Theorems
    The Laplace Transform of a Periodic Function
    Inversion by Partial Fractions: Heaviside’s Expansion Theorem
    Convolution
    Integral Equations
    Solution of Linear Differential Equations with Constant Coefficients
    Inversion by Contour Integration
    The Solution of the Wave Equation
    The Solution of the Heat Equation
    The Superposition Integral and the Heat Equation
    The Solution of Laplace’s Equation

    The Z-Transform
    The Relationship of the Z-Transform to the Laplace Transform
    Some Useful Properties
    Inverse Z-Transforms
    Solution of Difference Equations
    Stability of Discrete-Time Systems

    The Hilbert Transform
    Definition
    Some Useful Properties
    Analytic Signals
    Causality: The Kramers-Kronig Relationship

    Green’s Functions
    What Is a Green’s Function?
    Ordinary Differential Equations
    Joint Transform Method
    Wave Equation
    Heat Equation
    Helmholtz’s Equation
    Galerkin Methods 

    STOCHASTIC PROCESSES

    Probability
    Review of Set Theory
    Classic Probability
    Discrete Random Variables
    Continuous Random Variables
    Mean and Variance
    Some Commonly Used Distributions
    Joint Distributions

    Random Processes
    Fundamental Concepts
    Power Spectrum
    Two-State Markov Chains
    Birth and Death Processes
    Poisson Processes 

    Itˆo’s Stochastic Calculus
    Random Differential Equations
    Random Walk and Brownian Motion
    Itˆo’s Stochastic Integral
    Itˆo’s Lemma
    Stochastic Differential Equations
    Numerical Solution of Stochastic Differential Equations

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