Numerical and analytical methods with MATLAB(R) for electrical engineers
Author(s)
Bibliographic Information
Numerical and analytical methods with MATLAB(R) for electrical engineers
（CRC series in computational mechanics and applied analysis）
CRC Press, c2013
- : hardback
Available at / 2 libraries
-
No Libraries matched.
- Remove all filters.
Note
Includes bibliographical references and index
Description and Table of Contents
Description
Combining academic and practical approaches to this important topic, Numerical and Analytical Methods with MATLAB (R) for Electrical Engineers is the ideal resource for electrical and computer engineering students. Based on a previous edition that was geared toward mechanical engineering students, this book expands many of the concepts presented in that book and replaces the original projects with new ones intended specifically for electrical engineering students.
This book includes:
An introduction to the MATLAB programming environment
Mathematical techniques for matrix algebra, root finding, integration, and differential equations
More advanced topics, including transform methods, signal processing, curve fitting, and optimization
An introduction to the MATLAB graphical design environment, Simulink
Exploring the numerical methods that electrical engineers use for design analysis and testing, this book comprises standalone chapters outlining a course that also introduces students to computational methods and programming skills, using MATLAB as the programming environment. Helping engineering students to develop a feel for structural programming-not just button-pushing with a software program-the illustrative examples and extensive assignments in this resource enable them to develop the necessary skills and then apply them to practical electrical engineering problems and cases.
Table of Contents
Numerical Methods for Electrical Engineers. MATLAB (R) Fundamentals. Matrices. Roots of Algebraic and Transcendental Equations. Numerical Integration. Numerical Integration of Ordinary Differential Equations. Laplace Transforms. Fourier Transforms and Signal Processing. Curve Fitting. Optimization. Simulink. Appendices. MATLAB (R) Function Index.
by "Nielsen BookData"
