## What is Scilab Cloud and what is it used for?

Scilab Cloud Statistical Analysis: Open source software for numerical computing that provides a computing environment for engineering and scientific applications. Applications implemented in Scilab Cloud are still written in Scilab language for both algorithms and user interface.

Scilab is a software for numerical analysis, with a high-level programming language for scientific calculation. It is developed by Scilab Enterprises under the Cecill license, compatible with the GNU General Public License.

Scilab features include numerical analysis, 2-D and 3-D visualization, optimization, statistical analysis, design and analysis of dynamic systems, signal processing, and interfaces with Fortran, Java, C and C++. While the Xcos tool allows a graphical interface for model design.

Scilab Statistical Analysis has its own programming language, oriented to the use of matrices and vectors. It’s an interpreted language. Scilab incorporates its own editor called SCINotes, although Scipad is also available. The extension of these files is *.sce or *.sci. Example of the program hello world:

// comment line, as in C++

clc // clean the

disp screen (“Hello World”) // print Hello World

Scilab Statistical Analysis has functions specially designed for the treatment of polynomials and symbolic calculus (although there are others that facilitate text transcription like Maxima). For example to insert the polynomial:

{ displaystyle y=f (x) =5 cdot x^ {3} + { frac {1} {2}} cdot x-3} { displaystyle y=f (x) =5 cdot x^ {3} + { frac {1} {2}} cdot x-3}

The following commands are used (note that the coefficients of the polynomial are inserted from the lowest order term { displaystyle x^ {0}} { displaystyle x^ {0}} until the major order term { displaystyle x^ {3}} x^ {3} by putting zeros in the non-existing terms:

y = poly ([-3 1/2 0 5], “x”, “coeff”)