Buch, Englisch, 388 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 721 g
Buch, Englisch, 388 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 721 g
Reihe: Applied and Computational Mechanics
ISBN: 978-1-4398-5429-7
Verlag: Taylor & Francis Ltd (Sales)
Combining academic and practical approaches to this important topic, Numerical and Analytical Methods with MATLAB® 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.
Zielgruppe
Undergraduate Electrical Engineering students in a course that includes Numerical Methods, Engineering Analysis, Numerical & Analytical Methods, Numerical Methods with MATLAB®. Professional engineers needing to know about the application of MATLAB® to basic EE problem-solving.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Numerical Methods for Electrical Engineers. MATLAB® 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® Function Index.