Applied Linear Algebra and Optimization Using MATLAB

Applied Linear Algebra and Optimization Using MATLAB

Rizwan Butt
Hardback
August 2011
9781936420049
More details
  • Publisher
    Mercury Learning and Information
  • Published
    25th August 2011
  • ISBN 9781936420049
  • Language English
  • Pages 800 pp.
  • Size 7" x 9"
  •    Request Exam Copy
$69.95
Add to Cart
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July 2011
9781936420766
More details
  • Publisher
    Mercury Learning and Information
  • Published
    15th July 2011
  • ISBN 9781936420766
  • Language English
  • Pages 800 pp.
  • Size 7" x 9"
$149.95
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July 2011
9781936420780
More details
  • Publisher
    Mercury Learning and Information
  • Published
    15th July 2011
  • ISBN 9781936420780
  • Language English
  • Pages 800 pp.
  • Size 7" x 9"
  •    Request E-Exam Copy
$69.95
Add to Cart

Designed for engineers, computer scientists, and physicists or for use as a textbook in computational courses, Applied Linear Algebra and Optimization Using MATLAB provides the reader with numerous applications, m-files, and practical examples to solve problems. Balancing theoretical concepts with computational speed and accuracy, the book includes numerous short programs in MATLAB that can be used to solve problems involving systems of linear equations, matrices, vectors, computer graphics, and more. The book is accompanied by a CD-ROM with all of the figures, m-files for all of the programs, and MATLAB simulations from industry. Complete solutions and Microsoft PowerPoint slides are available to instructors for use as a textbook.

eBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at info@merclearning.com.

1) Matrices and Linear Systems
2) Iterative Methods for Linear Systems
3) The Eigenvalue Problems
4) Numerical Computation of Eigenvalues
5) Interpolation and Approximation
6) Linear Programming
7) Nonlinear Programming

Appendices

About the CD-ROM

Rizwan Butt

Rizwan Butt holds a PhD from the University of Leeds, and currently he is an associate professor at the King Saud University. He has written approximately 15 articles in prestigious research journals in the US, UK, and Germany, and is the author of Numerical Analysis Using MATLAB (Jones & Bartlett Learning).