The overall aim of this crash course in Matlab basic to advanced course is to explore and examine key concepts, methods and techniques used in the various toolboxes and built-in functions of Matlab for solving different numerical and technical computing problems, in a summarised and easily digestible format .
The knowledge is derived from the leading books and developed out of the enriched practical experiences of the Matlab application .
MATLAB is a software package with high numerical computation and visualisation. According to (Pratap, 2002), “MATLAB stands for matrix laboratory.” It is a way of solving problems using numerical computation. MATLAB has built-in functions which allow an interactive environment for technical computation, graphics, and animation. The built-in functions enable linear algebraic computation, signal processing, data analysis, a numerical solution for ordinary differential equation (ODEs) and other different types of scientific computation. Most of the built-in functions in MATLAB employ a high level of algorithm development which is known as a state-of-the-art algorithm. MATLAB has different toolboxes such as signal processing toolbox, control system toolbox, and symbolic calculations tool box.
Each toolbox contains specific programs design to solve specific problems. The toolboxes programs can be applied in Image Processing, Symbolic Computation, Control System Design, Statistic, Neural Networks, etc. (Pratap, 2002). In the scientific calculator, numbers or some other functions such as sine, cosine, logarithm, etc. are entered and then processed in binary form to give desired outputs (Wolchover, 2011). Regarding numerical calculation, MATLAB works in a way similar to that of the scientific calculator (Gilat, 2011).
MATLAB is a skill that is required by many engineering industries. Many engineering positions entry-level requirements list MATLAB as an important skill which applicants must possess.
MATLAB software package has various built-in functions. However, unlike scientific calculators, users are not limited to the built-in functions since they are allowed to write their own desired functions using the MATLAB language (Pratap, 2002). In this case, MATLAB executes the user-defined function just like the built-in functions. The categories of these functions are graphic, computation and External Interface functions. The graphic functions communicate results in the form
A.colour and lighting B.animation C.Two and three dimensions (2-D and 3-D).
The computations are based •Linear Algebra •Data Analysis •Polynomials and Interpolation •Signal Processing •Ordinary differential equations (ODEs) •Quadrature
Finally, the course ends with Multiple choice questions MCQs to strengthen knowledge on the most important points and topics learned.
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This book looks like a student guide for a MATLAB course. It is a good basic introduction to MATLAB, but week on the advanced side. For 15 years, I taught one week seminars on programming, system administration and networking. During that period, I wrote around 30 student guides. Students become critics, when there are grammatical errors, and errors in examples. This book has plenty of both. It looks more like a draft than a finished product.