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 Scilab 5.2.2
marko
May 22 2009, 01:45 PM
Post #1


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File Name: Scilab 5.2.2
File Submitter: marko
File Submitted: 22 May 2009
File Updated: 22 Apr 2010
File Category: Science & Mathematics
Will Run On: XP/2003/Vista/7

Scilab is an interactive platform for numerical computation providing a powerful computing environment for engineering and scientific applications.

Gathering both industrial needs and scientific advances, Scilab covers a wide spectrum of areas: aerospace, automotive, energy, defense, finance, chemistry, biology, medicine…

Scilab includes hundreds of mathematical functions. It has a high level programming language allowing access to advanced data structures, 2-D and 3-D graphical functions.

A large number of functionalities is included in Scilab: control, simulation, optimization, signal processing... Xcos, the hybrid dynamic systems modeler and simulator is provided with the platform.

Scilab is free software distributed under CeCILL license (GPL compatible). It comes with source code, on-line help and English user manuals.

The international scientific community, both academic and industrial spheres, invests in Scilab. Many modules, contributions from users, can also be downloaded.

The distribution mode of Scilab is particularly well suited for education where students can receive a free copy or as a tool for scientific cooperation without constraints. The availability of source code is also of great interest in research or for strategic applications.

Features
* Hundreds of mathematical functions
* High level programming language
* 2-D and 3-D graphics
* Advanced data structures and user defined data types
* Xcos: hybrid dynamic systems modeler and simulator

2-D and 3-D visualization
* Lines
* Pie charts
* Histograms
* Surfaces
* Animations
* Graphics export in many formats: GIF, BMP, JPEG, SVG, PDF...

Numerical computation
* Linear algebra
* Sparse matrices
* Polynomials and rational functions
* Simulation: explicit and implicit systems of differential equations solvers
* Classic and robust control
* Differentiable and non-differentiable optimization

Data analysis
* Interpolation, approximation
* Signal Processing
* Statistics



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