Scilab

Scilab download for free to PC or mobile

Scilab is a powerful high-level programming language designed for advanced mathematical calculations and scripting. Ideal for solving polynomials, matrices, derivatives, integrals, equations, and interpolation, Scilab supports both standard and scientific computations. Users can create complex programs using variables, operators, functions, and flow control. One of Scilab's standout features is its robust graphic generation capabilities, producing detailed 2D and 3D visualizations, and even exporting them as PostScript files. Whether you're a student, researcher, or engineer, Scilab offers the tools you need for comprehensive mathematical analysis and visualization.
Apps & Games / Scilab download for free to PC or mobile
29 May 2024
Title
Scilab
Size
129.8 MB
Price
free of charge
Category
Applications
Developer
System
Windows
3
685 reviews
2424
downloads
The content of games with a PEGI 3 rating is considered suitable for all age groups. The game should not contain any sounds or pictures that are likely to frighten young children. A very mild form of violence (in a comical context or a childlike setting) is acceptable. No bad language should be heard.

Equivalent to E (low end) and EC (which is no longer used). 435 titles were rated PEGI 3 in 2020.
129.8 MB

Scilab Features

Scilab is a powerful open-source software for numerical computation that offers a wide range of mathematical functions and tools. With its user-friendly interface, it allows users to easily perform complex calculations, analyze data, and visualize results. Whether you're a student, researcher, or engineer, Scilab provides a versatile platform for solving mathematical problems and conducting simulations. Its extensive library of functions and compatibility with various operating systems make it a valuable tool for anyone in need of a reliable computational software.

Matrix Operations

Perform various matrix operations such as addition, subtraction, multiplication, and inversion with ease.

Data Visualization

Visualize data using various types of plots including scatter plots, bar graphs, histograms, and more.

Statistical Analysis

Conduct statistical analysis on data sets including mean, median, standard deviation, and regression analysis.

Signal Processing

Apply signal processing techniques such as filtering, Fourier transforms, and spectral analysis to signals.

Optimization

Optimize functions using algorithms like gradient descent, genetic algorithms, and simulated annealing.

Control Systems

Design and analyze control systems using tools like Bode plots, root locus, and state-space models.

Scilab overview

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Приложение для научных вычислений и анализа данных предлагает мощные инструменты для визуализации и обработки информации. На скриншоте представлены графики и спектры, позволяющие проводить детальный анализ. Удобный интерфейс и консоль для выполнения команд делают работу с приложением интуитивно понятной и эффективной. Поддержка различных форматов данных и возможность интеграции с другими инструментами.

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Программное обеспечение для научных вычислений и моделирования предлагает мощные инструменты для анализа данных и создания графиков. В приложении можно создавать и редактировать модели, используя язык Modelica, а также выполнять симуляции и генерировать код на C. Удобный интерфейс позволяет легко управлять проектами и анализировать результаты, представленные в виде графиков и схем.

Scilab FAQ

To plot a hyperbola in Scilab, use the `plot` function with parametric equations x = a * cosh(t) and y = b * sinh(t), where `a` and `b` are constants, and `t` ranges over a suitable interval.

For loops in Scilab are used to iterate over a sequence of values. The syntax is: `for i = start:step:end, statements, end`. Example: `for i = 1:2:10, disp(i), end`.

To find the factorial of a number in Scilab, use the `factorial` function. Example: `n = 5; fact = factorial(n);` which results in `fact` being equal to 120.

To find the roots of a polynomial in Scilab, use the `roots` function. Example: `p = [1 -3 2]; r = roots(p);` where `p` is the coefficients vector and `r` contains the roots.

`deff` in Scilab is used to define functions. The syntax is: `deff('[out]=fun_name(in)', 'out = statements')`. It creates one-line or multi-line functions.

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