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Numerical Methods with Worked Examples: Matlab Edition [electronic resource] / by C. Woodford, C. Phillips.

By: Woodford, C [author.].
Contributor(s): Phillips, C [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Dordrecht : Springer Netherlands, 2012Edition: Second Edition.Description: X, 256p. 32 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789400713666.Subject(s): Mathematics | Chemistry | Biology -- Data processing | Engineering mathematics | Mathematics | Applications of Mathematics | Appl.Mathematics/Computational Methods of Engineering | Computer Applications in Chemistry | Computer Appl. in Life Sciences | Numerical and Computational PhysicsDDC classification: 519 Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: 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 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.

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 to the book on http://extras.springer.com

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