Download PDF ELEMENTARY MATHEMATICAL and COMPUTATIONAL TOOLS for ELECTRICAL and COMPUTER ENGINEERS USING MATLAB® by Jamal T. Manassah

Sinopsis

MATLAB can be thought of as a library of programs that will prove very useful in solving many electrical engineering computational problems. MATLAB is an ideal tool for numerically assisting you in obtaining answers, which is a major goal of engineering analysis and design. This program is very useful in circuit analysis, device design, signal processing, filter design, control system analysis, antenna design, microwave engineering, photonics engineering, computer engineering, and all other sub-fields of electrical engineering. It is also a powerful graphic and visualization tool. The first step in using MATLAB is to know how to call it. It is important to remember that although the front-end and the interfacing for machines with different operating systems are sometimes different, once you are inside MATLAB, all programs and routines are written in the same manner. Only those few commands that are for file management and for interfacing with external devices such as printers may be different for different operating systems. After entering MATLAB, you should see the prompt >>, which means the program interpreter is waiting for you to enter instructions. (Remember to press the Return key at the end of each line that you enter.) Now type clf. This command creates a graph window (if one does not already exist) or clears an existing graph window. Because it is impossible to explain the function of every MATLAB command within this text, how would you get information on a certain command syntax? The MATLAB program has extensive help documentation available with simple commands. For example, if you wanted help on a function called roots (we will use this function often), you would type help roots.

Content

1. Introduction to MATLAB® and Its Graphics Capabilities
2. Difference Equations
3. Elementary Functions and Some of Their Uses
4. Numerical Differentiation, Integration, and Solutions of Ordinary Differential Equations
5. Root Solving and Optimization Methods
6. Complex Numbers
7. Vectors
8. Matrices
9. Transformations
10. A Taste of Probability Theory

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