This is a lively textbook for an introductory course in numerical methods, MATLAB, and technical computing, with an emphasis on the informed use of mathematical software. The presentation helps readers learn enough about the mathematical functions in MATLAB to use them correctly, appreciate their limitations, and modify them appropriately. The book makes extensive use of computer graphics, including interactive graphical expositions of numerical algorithms. It provides more than 70 M-files, which can be downloaded from the text Web site www.mathworks.com/moler. Many of the numerous exercises involve modifying and extending these programs. The topics covered include an introduction to MATLAB; linear equations; interpolation; zeros and roots; least squares; quadrature; ordinary differential equations; Fourier analysis; random numbers; eigenvalues and singular values; and partial differential equations. Motivating applications include modern problems from cryptography, touch-tone dialing, Google page-ranking, atmospheric science and image processing, as well as classical problems from physics and engineering.
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Book Description
Editorial Reviews
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‘Moler … tailors his book as a set of discrete and easy to read chapters explaining and depicting the power of MATLAB. [The book] demonstrates to the reader, student or professional users, what is possible in MATLAB in easy to swallow bites, yet preserving the power and elegance of the software. … Moler does an outstanding job covering the sweet-spot between mathematics and computer science using MATLAB. He demonstrates throughout his book the power and the flexibility of the software application, and how it can be used to make a scientist's job easier.’ Art Seddighi, MAA Reviews
Book Description
This is a lively introductory textbook in numerical methods, MATLAB, and technical computing, with an emphasis on the informed use of mathematical software. Readers will learn how to use the mathematical functions in MATLAB correctly, appreciate their limitations, and modify them appropriately. Computer graphics are made extensive use of.
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19 of 20 people found the following review helpful:
4.0 out of 5 stars
The book by the architect of Matlab,
This review is from: Numerical Computing with Matlab (Paperback)
This is one of the original Matlab developers. A good book follows the book by Heath on Scientific Computing with a focus on Matlab. It's available for free at www.mathworks.com/moler
3 of 3 people found the following review helpful:
5.0 out of 5 stars
Great book, no need to purchase.,
By Sue Katz "Honey Bee" (Tallahassee, FLA) - See all my reviews
This review is from: Numerical Computing with Matlab (Paperback)
Great text for the student of matlab. Matlab is very generous with online documentation, and this content can be found at the matlab website with some creative google-whacking. All code and data files are also available.
1 of 1 people found the following review helpful:
4.0 out of 5 stars
Perfect for Undergrads,
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This review is from: Numerical Computing with Matlab (Paperback)
If you need to learn numerical methods, and at the same time is concerned with MATLAB Programming, this is your book. Unfortunately, he doesn't cover relevant topics supposed to be studied in a graduate program. But definitely It's a good book, a "must read", in this area.
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This book is an introduction to two subjects: MATLAB and numerical computing. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
backslash operator, zero finder, fractal fern, bisection point, sunspot index, demos directory, inline object, ordinary differential equation solvers, anonymous functions, computed eigenvalues, adaptive quadrature, inline function, golden section search, roundoff error, linear interpolant, sparse linear system, secant method, shallow ocean, trapezoid rule, numerical computing, piecewise linear interpolation, connectivity matrix, eigenvalue decomposition, next iterate, midpoint rule Key Phrases - Capitalized Phrases (CAPs): (learn more)
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This book is an introduction to two subjects: MATLAB and numerical computing. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
backslash operator, zero finder, fractal fern, bisection point, sunspot index, demos directory, inline object, ordinary differential equation solvers, anonymous functions, computed eigenvalues, adaptive quadrature, inline function, golden section search, roundoff error, linear interpolant, sparse linear system, secant method, shallow ocean, trapezoid rule, numerical computing, piecewise linear interpolation, connectivity matrix, eigenvalue decomposition, next iterate, midpoint rule Key Phrases - Capitalized Phrases (CAPs): (learn more)
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Citations (learn more)
This book cites 17
books:
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6
books
cite this book:
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- Fractals Everywhere by Michael F. Barnsley on page 13, page 15, and Back Matter
- A Practical Guide to Splines by Carl De Boor on page 102, and Back Matter
- Matrix Computations (Johns Hopkins Studies in Mathematical Sciences)(3rd Edition) by Gene H. Golub in Back Matter (1), and Back Matter (2)
- The Algebraic Eigenvalue Problem (Monographs on Numerical Analysis) by the late J. H. Wilkinson on page 285, and Back Matter
- Computational Frameworks for the Fast Fourier Transform (Frontiers in Applied Mathematics) by Charles Van Loan in Back Matter
See all 17 books this book cites
- Google's PageRank and Beyond: The Science of Search Engine Rankings by Amy N. Langville on page 77, page 150, and Back Matter
- MATLAB Guide by Desmond J. Higham on page 22, and Back Matter
- MATLAB 7: Eine Einführung (German Edition) by Christoph W. Überhuber in Back Matter
- MATLAB Advanced GUI Development by Scott T. Smith in Back Matter
- Global Optimization: Scientific and Engineering Case Studies (Nonconvex Optimization and Its Applications (closed)) by János D. Pintér in Front Matter
See all 6 books citing this book
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