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Scilab is an interpreted programming language that is associated to a detailed collection of numerical algorithms that solve many aspects of scientific problems. Users do not pay for Scilab therefor making it a free software.
Statistical Software Free
• Optimization • Statistics • Signal processing • Application development • Maths and Simulation • 2-D and 3-D visualization • Control system design and analysis
Small (<50 employees), Medium (50 to 1000 Enterprise (>1001 employees)
• Application development • Maths and Simulation • 2-D and 3-D visualization • Control system design and analysis
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Scilab is an open and free software that uses interpreted programming language that offers platforms of 32 and 64-bit data processing and solves many aspects of scientific problems using the collection of numerical algorithms.
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Scilab is an interpreted programming language that is associated to a detailed collection of numerical algorithms that solve many aspects of scientific problems.
Users do not pay for Scilab therefor making it a free software. The binaries used in Scilab provide users with a good platform to process the 32 and 64-bit type of data. Scilab has main features that enable users interact more and easily with Scilab. They include optimization, statistics, maths and simulation, signal processing, application development, 2-D and 3-D visualization and the control system design and analysis.
Scilab through the signal processing feature provides users with the required tools for visualization, analysis and filtering of signals in frequency domains and in time. The tools provided enable users to perform signal generation, data windowing and analog filter design. The maths and simulation feature provides to users more than 1500 mathematical functions that are essential in performing usual engineering and science applications.
The maths and simulation feature also includes data analysis and mathematical operations. The 2-D and 3-D visualization feature provided by Scilab provides graphic functions used to annotate, visualize and export data. The 2-D and 3-D visualization feature also provides users with many ways of creation and customization of various types of charts and plots. The optimization feature contains algorithms used by users to solve discrete and constrained and unconstrained continuous problems.
The statistics feature provides tools required in modelling and performing data analysis. The control system design and analysis enables users to control systems by using the standard algorithms and tools. The application development feature is essential to users as it provides a graphical user interface, data management, application programming interface and algorithms development.
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