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Designed for engineers, computer scientists, and physicists or for use as a textbook in computational courses, Applied Linear Algebra & 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, code, and m-files for all of the programs[ALL companion disc files are available with Amazon proof of purchase at info@merclearning.com].
Features
• Exploits the symbolic, numerical, and graphical capabilities of MATLAB to develop a thorough understanding of linear algebra and optimization algorithms
• Accompanied by a CD-ROM with all of the figures, code, and m-files
[ALL companion disc files are available with Amazon proof of purchase at info@merclearning.com]
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).
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Applied Linear Algebra and Optimization Using Matlab.pdf
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