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Bibliographic Details

Title: Numerical Methods Using MATLAB
Publisher: Pearson Education, Limited
Publication Date: 1999
Language: English
ISBN 10: 0130126411
ISBN 13: 9780130126412
Binding: Soft cover
Edition: 2nd.
Condition: Good
Weight: 1.62 pounds

About this title

Synopsis

Ideal for those in science and industry, this state-of-the-art guide to using MATLAB introduces readers to a wide range of numerical algorithms implemented by this modern and powerful computer software—with full explanations of their fundamental principles and clear visual interpretation of results using MATLAB graphics. Provides clear visual interpretation of results using MATLAB graphics, and discusses the solution of linear equations and eigenvalue problems; methods for solving non-linear equations; numerical integration and differentiation; the solution of initial value and boundary value problems; curve fitting including splines, leas squares, and Fourier analysis. Integrates developing computer technology through all algorithms and scripts, encourages systematic experimentation, and offers a thorough, hands-on study of MATLAB functions that includes optimization and regression analysis with applications of symbolic methods. For electrical engineers.

From the Back Cover

FEATURES/BENEFITS

Developing computing technology used through all algorithms and scripts.
Clear visual interpretation of results using MATLAB graphics.
Use of symbolic methods—Includes a full chapter on the use of the MATLAB symbolic toolbox and its application to numerical methods.

Allows comparison of different approaches to many problems and enhances opportunities for testing and experimentation.

Introduction to the important field of optimization.

Helps the reader understand the broad area of MATLAB application.

Statistical techniques placed in a clear numerical context.

Enables the reader to grasp complex but widely applied concepts.

MATLAB symbolic toolbox—Includes a full chapter on the use of the MATLAB symbolic toolbox and its applications to numerical methods.
The most current MATLAB functions—Includes functions for obtaining specific eigenvalues; for the solution of differential equations (including methods for stiff differential equations); and for regression analysis.
Coverage on global optimization methods.

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