Numerical Methods: Using MATLAB
Autor George Lindfield, John Pennyen Limba Engleză Paperback – 15 oct 2018
The text provides an extensive reference providing numerous useful and important numerical algorithms that are implemented in MATLAB® to help researchers analyze a particular outcome. By using MATLAB® it is possible for the readers to tackle some large and difficult problems and deepen and consolidate their understanding of problem solving using numerical methods. Many worked examples are given together with exercises and solutions to illustrate how numerical methods can be used to study problems that have applications in the biosciences, chaos, optimization and many other fields. The text will be a valuable aid to people working in a wide range of fields, such as engineering, science and economics.
- Features many numerical algorithms, their fundamental principles, and applications
- Includes new sections introducing Simulink, Kalman Filter, Discrete Transforms and Wavelet Analysis
- Contains some new problems and examples
- Is user-friendly and is written in a conversational and approachable style
- Contains over 60 algorithms implemented as MATLAB® functions, and over 100 MATLAB® scripts applying numerical algorithms to specific examples
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Paperback (2) | 484.02 lei 36-50 zile | |
ELSEVIER SCIENCE – 15 oct 2018 | 484.02 lei 36-50 zile | |
Elsevier – 20 aug 2012 | 568.09 lei 43-57 zile |
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Specificații
ISBN-13: 9780128122563
ISBN-10: 0128122560
Pagini: 608
Dimensiuni: 191 x 235 x 30 mm
Greutate: 1.25 kg
Ediția:4
Editura: ELSEVIER SCIENCE
ISBN-10: 0128122560
Pagini: 608
Dimensiuni: 191 x 235 x 30 mm
Greutate: 1.25 kg
Ediția:4
Editura: ELSEVIER SCIENCE
Public țintă
Upper level students taking technical courses in which Matlab is used as the computational tool of choice for solving numerically-based problems; professionals in engineering, bioengineering, and computer science fields and scientists needing user-friendly text to solve specific problems in numerical analysisCuprins
1. An Introduction to Matlab2. Linear Equations and Eigensystems3. Solution of Nonlinear Equations4. Differentiation and Integration5. Solution of Differential Equations6. Boundary Value Problems7. Analyzing Data8. Analyzing Data using Discrete Transforms9. Optimization Methods10. Applications of the Symbolic Toolbox