

This paper illustrates typical applications for engineering students, according to lectures in Computer Science. MATLAB with MuPAD can be used in solving engineering problems in Computer Science and industry.

The last 14 th version of MATLAB (September 2008) has included MuPAD as Symbolic Math Toolbox add-on. On old version of MATLAB there was used system of MAPLE for symbolic computations. Some projects can be done with MATLAB only, with request some symbolic computation so that one of symbolic computation tools is essential to apply them. MATLAB supports plotting, operations with matrix, creation user interface and interfacing with programs written in other languages, such as Fortran, C, C++, Java, MAPLE and MuPAD. MATLAB (matrix laboratory) is a numerical computing environment developed by MathWorks. Detailed information can be found in reference, ,,. GAP e.t.c Also there are more than 30 commercial SCT tools, such as MATLAB and MuPAD from MathWorks.
EIGENMATH SOURCE FREE
Some examples of SCT open-source, cost free tools are given in the following list: 1. Symbolic computation techniques (SCT) are created from knowledge logical and functional programming techniques. General classification of programming languages is illustrated in Figure 1. In Computer Science there exist many programming languages, which are used for numerical applications as solution to problems. Symbolic and numeric computation methods can be combined to solve problems. Some problems can be better solved using symbolical way, while other can be solved better in a numerical way. Numerical computation methods are usually much faster. In some cases, symbolic computation methods need long time and resources to solve problems. Symbolic computation is more exact generic solution compared to numeric solutions, which are more approximate solutions. Typical operations include symbolic differentiation, integration, polynomial etc. computation deals with mathematical computations on numbers, symbols, expressions, and formulas, in an exact manner, as opposed to numeric computation that deals only with floating-point numbers (and therefore approximations).
