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Here, numerical methods are set out in ´problem-solution-discussion´ order to allow natural inference. This fresh edition, aimed at students on introductory courses in numerical methods, shows how Matlab can be a computer environment for experimentation.

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This book is for students following an introductory course in numerical methods, numerical techniques or numerical analysis. It introduces MATLAB as a computing environment for experimenting with numerical methods. It approaches the subject from a pragmatic viewpoint; theory is kept at a minimum commensurate with comprehensive coverage of the subject and it contains abundant worked examples which provide easy understanding through a clear and concise theoretical treatment. This edition places even greater emphasis on ´learning by doing´ than the previous edition.

Fully documented MATLAB code for the numerical methods described in the book will be available as supplementary material to the book on http://extras.springer.com

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1. Basic Matlab. - 2. Linear Equations.- 3. Nonlinear Equations.- 4. Curve Fitting.- 5. Numerical Integration.- 6. Numerical Differentiation.- 7. Linear Programming.- 8. Optimization.- 9. Ordinary Differential Equations.- 10. Eigenvalues and Eigenvectors.- 11. Statistics.

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From the book reviews:

"For the reader who is looking to incorporate numerical methods into their field without diving too deep into the analysis, the authors´ order of presentation is very appealing. ... The chapters of this book cover almost everything that one would expect in a numerical methods book. The authors hold true to their endeavor to teach by example, including numerous motivating problems and worked solutions." (Chris Vogl, SIAM Review, Vol. 56 (3), September, 2014)

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