Scilab – numerical computation and scientific modelling

Scilab is a numerical computing environment and high-level programming language for scientific and engineering applications. It provides tools for mathematical modelling, analysing data, developing algorithms and simulating complex systems.

The language is designed around matrix operations and numerical calculations, allowing mathematical problems to be expressed using relatively concise programs. Its syntax shares similarities with MATLAB, although the two languages are not fully compatible.

Scilab also includes Xcos, a graphical modelling and simulation environment that lets engineers construct dynamic systems using interconnected blocks.

This is free and open source software.

Key Features

• Perform matrix operations, linear algebra calculations and sparse matrix computations.
• Solve linear and nonlinear equations using numerical algorithms.
• Work with polynomials, rational functions and complex numbers.
• Perform interpolation, approximation and numerical integration.
• Solve ordinary differential equations and differential-algebraic equations.
• Use optimisation algorithms for constrained and unconstrained mathematical problems.
• Carry out statistical analysis, probability calculations and data processing.
• Process signals using Fourier transforms, filtering and related mathematical functions.
• Create 2D and 3D plots, surfaces, contours and scientific visualisations.
• Develop algorithms using the integrated programming language and mathematical libraries.
• Use SciNotes for source code editing, navigation, completion and debugging.
• Construct graphical simulation models with the Xcos block diagram editor.
• Simulate continuous, discrete and hybrid dynamic systems.
• Model control systems, mechanical systems, electronic circuits and other engineering applications.
• Extend mathematical and engineering functionality through specialised toolboxes.
• Interface with programs and libraries written in C, C++, Fortran and Java.
• Create custom graphical interfaces and automate scientific workflows.
• Cross-platform support – runs on Linux, macOS, and Windows.

Website: www.scilab.org
Support:
Developer: Scilab development team and contributors, including Dassault Systèmes
License: GNU General Public License v2.0

Scilab is written in C++, C, and Java. Learn C++ with our recommended free books and free tutorials. Learn C with our recommended free books and free tutorials. Learn Java with our recommended free books and free tutorials.

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