| ## Advanced Engineering Mathematics with MATLAB (Bookware Companion) |

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## Book Description

ADVANCED ENGINEERING MATHEMATICS WITH MATLAB is written for engineers and engineering students who are interested in applying MATLAB to solve practical engineering problems. The book emphasizes mathematical principles, not computations, with MATLAB employed as a tool for analysis that shows how engineering problems are defined and solved. The book features complete MATLAB integration throughout, abundant examples which show real practical applications, and end-of-chapter problems that reinforce techniques.

### Book Details

- Amazon Sales Rank: #1118348 in Books
- Brand: Brand: Cengage Learning
- Published on: 1999-12-29
- Original language: English
- Number of items: 1
- Dimensions: 1.39" h x 7.67" w x 9.56" l, 2.90 pounds
- Binding: Hardcover
- 784 pages

### Features

- Used Book in Good Condition

## Editorial Reviews

Review

1. INTRODUCTION Introduction to MATLAB(R) / MATLAB(R) Commands for Display and Plotting / Creating MATLAB(R) Programs / MATLAB(R) Programming Language / Problem Solving and Programming (Optional) / Reinforcement Exercises and Exploration Problems / Annotated Bibliography / Answers 2. NUMBERS AND VECTORS Properties of Real Numbers / MATLAB(R) Computer Numbers (Optional) / Complex Numbers / Vectors in Two Dimensions and Three Dimensions / Vectors in Higher Dimensions / MATLAB(R) Vectors / Complex Vectors / Vector Spaces / Vector Spaces of Functions / Reinforcement Exercises and Exploration Problems / Annotated Bibliography / Answers 3. MATRICES Basic Properties of Matrices / MATLAB(R) Matrix Operations / Square and Symmetric Matrices / Determinants and Matrix Inverses / Orthogonal and Triangular Matrices / Systems of Linear Equations / MATLAB(R) Matrix Functions / Linear Transformations / Reinforcement Exercises and Exploration Problems / Annotated Bibliography / Answers 4. EIGENVALUES AND EIGENVECTORS General Discussion of Eigenvalues / Eigenvalues and Eigenvectors / Matrix Eigenvalue Theorems / Complex Vectors and Matrices / MATLAB(R) Commands for Eigenvectors / Matrix Calculus / Similar and Diagonalizable Matrices / Special Matrices and Their Eigenvalues (Optional) / Applications to Differential Equations / Reinforcement Exercises and Exploration Problems / Annotated Bibliography / Answers 5. LINEAR DIFFERENTIAL EQUATIONS Classification of Differential Equations / Linear Differential Equations / Higher Order Differential Equations / Second Order Differential Equations / Particular Solutions of Differential Equations / Systems of Differential Equations / MATLAB(R) Solutions of Systems of Differential Equations / Homogeneous Systems with Repeated Eigenvalues / Nonhomogeneous Systems of Differential Equations / Transforming Differential Equations / Reinforcement Exercises and Exploration Problems / Annotated Bibliography / Answers 6. ADVANCED DIFFERENTIAL EQUATIONS Functions and Differential Equations / Sequences and Series / Taylor Series / Numerical Methods for Differential Equations / Stiff Differential Equations / Vector Equations / Boundary Value Problems / Equations with Variable Coefficients / Bessel and Legendre Equations / Reinforcement Exercises and Exploration Problems / Annotated Bibliography / Answers 7. APPROXIMATION OF FUNCTIONS Polynomial Interpolation / Interpolation by Spline Functions / Least-Squares Curve Fitting / Orthogonal Functions / Reinforcement Exercises and Exploration Problems / Annotated Bibliography / Answers 8. FOURIER ANALYSIS Fourier Series / Properties of Fourier Series / Fourier Transforms / Reinforcement Exercises and Exploration Problems / Annotated Bibliography / Answers 9. LAPLACE TRANSFORMS Definition and Properties of the Laplace Transform / Computation of Inverse Laplace Transforms / MATLAB(R) and Laplace Transforms / Applications to Differential Equations / Applications of Laplace Transforms to Linear Systems / Relationship of Fourier and Laplace Transforms / Summary of Laplace Transform Properties / Reinforcement Exercises and Exploration Problems / Annotated Bibliography / Answers 10. DISCRETE SYSTEMS Introduction to the Sequences and Discrete Functions / Linear Difference Equations / Approximation to Differential Equations / Smoothing and Digital Filters / Introduction to z-Transforms / MATLAB(R) Commands for Discrete Systems / z-Transform Solution of Difference Equations / Applications of z-transforms to Linear Discrete Systems / Frequency Response and Fourier Analysis / Summary of z-transform Properties / Reinforcement Exercises and Exploration Problems / Annotated Bibliography / Answers 11. THE DISCRETE FOURIER TRANSFORM AND THE FFT Frequency Analysis of Signals / Discrete and Fast Fourier Transforms / MATLAB(R) Fourier Commands / Practical Signal Analysis / Practical Signal Sampling and DFT Errors / Analysis of DFT for Computation (Optional) / Reinforcement Exercises and Exploration Problems / Annotated Bibliography / Answers 12. ADVANCED CALCULUS Functions of Several Variables / Derivatives of a Multivariate Function / Differentials and Linear Approximation / Two-Dimensional Taylor Series / MATLAB(R) Two-Dimensional Interpolation / MATLAB(R) Differentiation / Extrema of Real-Valued Functions / Constrained Extrema and Lagrange Multipliers / Reinforcement Exercises and Exploration Problems / Annotated Bibliography / Answers 13. VECTOR DIFFERENTIAL OPERATORS Vector and Scalar Fields / MATLAB(R) Commands for Vector Differential Calculus / Directional Derivatives and the Gradient / The Divergence / The Curl / The Laplacian and Laplace's Equation / Vector Field Theory / Physical Application and Interpretation / Curvilinear Coordinates / Reinforcement Exercises and Exploration Problems / Annotated Bibliography / Answers 14. VECTOR INTEGRAL CALCULUS Integration / Applications of Single Integrals / Double and Triple Integrals / Change of Variables in Double Integrals / Change of Variables in Triple Integrals / Applications of Multiple Integrals / MATLAB(R) Commands for Integration / Line Integrals / Surface Integrals / Theorems of Vector Integral Calculus / Applications of Vector Field Theory / Reinforcement Exercises and Exploration Problems / Annotated Bibliography / Answers 15. PARTIAL DIFFERENTIAL EQUATIONS Introduction to Partial Differential Equations / Laplace's Equation / The Heat Equation / The Wave Equation / Reinforcement Exercises and Exploration Problems / Annotated Bibliography / Answers / INDEX / INDEX OF MATLAB(R) COMMANDS

About the Author

Dr. Thomas Harman is Professor and Chair of the Engineering Division at Rice University. He earned his B.S.E.E. with Honors from the University of Maryland in 1965 and his Ph.D. from Rice University in Electrical Engineering in 1972.

Dr. James B. Dabney is Assistant Professor of Systems Engineering at University of Houston - Clear Lake. He earned his B.S. in 1974 from Virginia Polytechnic Institute and State University, his M.S. in 1993 University of Houston - Clear Lake and his Ph.D. in 1998 Rice University.

Norman John Richert of the University of Houston-Clear Lake.

## Customer Reviews

Most helpful customer reviews

0 of 1 people found the following review helpful.

Four Stars

By Amazon Customer

Awesome

0 of 3 people found the following review helpful.

One Star

By Dainius Bunevicius

Different version than posted.

19 of 20 people found the following review helpful.

Deserves 6 stars

By Clovis Bonavides

If you are not already a superuser of MATLAB or a mathematician and want to choose one single book on MATLAB that also brings a solid math base, this is the one. The authors have chosen the subjects very well, with emphasys on the use of mathematical principles coupled with the use of the computing power offered by MATLAB.

In addition to a sound presentation of concepts - without however being extensive (or boring) on theoretical details that probably would not be relevant - this book addresses most areas of University Math (Physical Sciences undergraduate curriculum) with a wealth of good practical programming examples. I specially liked the chapters on Eigenvectors and Eigenvalues, those on Differential equations, Fourier analysis and the simple but very clear and didatic one on Discrete sytems.

In summary, although not a complete text, the subjects addressed in this book are so well presented that it can be forgiven for not covering some areas (like complex variables and calculus of variations, to name only two). There is no waste of pages in this book, but as a suggestion for future enhancement I would mention the inclusion of a chapter dedicated to exploring the graphing power available in MATLAB.

Also as a reference, for most needs you'll probably be able to start doing something productive right away after reading. Well worth its price!