Description
Numerical Methods (4th Ed.)
Using MATLAB
Authors: Lindfield George, Penny John
Language: English
Subjects for Numerical Methods:
Keywords
<; p>; matrices; scalar functions; string variables; three-dimensional graphics; Gaussian Elimination; LU Decomposition; Cholesky Decomposition; QR Decomposition; Pseudo-Inverse; sparse matrices; bisection algorithm; Newton’s Method; Schroder’s Method; Broyden’s Method for Solving Nonlinear Equations; Simpson’s Rule; Newton-Cotes Formulae; Romberg Integration; Gaussian Integration; Gauss-Chebyshev Formula; Gauss-Lobatto Integration; test integrals; Euler’s Method; trapezoidal method; Runge-Kutta methods; Predictor-Corrector Methods; error propagation; Lorenz Equations; Finite Difference Method; Parabolic Partial Differential Equations; Hyperbolic Partial Differential Equations; Fourier Analysis of Discrete Data; multiple regression; polynomial regression; Conjugate Gradient Method; Moller’s Scaled Conjugate Gradient Method; genetic algorithms; simulated annealing; symbolic partial differentiation; symbolic integration; Laplace Transform; Z-Transform; Fourier Transform methods<; /p>
Approximative price 98.24 €
In Print (Delivery period: 14 days).
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the book of Lindfield George, Penny John
608 p. · 19x23.3 cm · Paperback
Description
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/li>Biography
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The fourth edition of Numerical Methods Using MATLAB® provides a clear and rigorous introduction to a wide range of numerical methods that have practical applications. The authors? approach is to integrate MATLAB® with numerical analysis in a way which adds clarity to the numerical analysis and develops familiarity with MATLAB®. MATLAB® graphics and numerical output are used extensively to clarify complex problems and give a deeper understanding of their nature.
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.
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
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 analysis
John Penny is an Emeritus Professor of Mechanical Engineering at the School of Engineering and Applied Science, Aston University in the United Kingdom.
- 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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