Theosis
Answered

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good computing softwares in mathematics​

Sagot :

Mathematica:

A powerful computational software used for symbolic and numerical mathematical calculations, visualization, and programming. It is commonly used in various fields such as engineering, physics, and finance.

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MATLAB:

A high-level programming language and interactive environment for numeric computation, data visualization, and algorithm development. It is widely used in academic and research settings for scientific and engineering calculations.

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Maple:

A mathematical software that provides tools for symbolic computation, numerical analysis, and visualization. It is often used in education and research for solving complex mathematical problems.

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GeoGebra:

A dynamic mathematics software that combines geometry, algebra, spreadsheets, graphing, and statistics in an interactive environment. It is widely used in education for teaching and learning mathematics.

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Maxima:

An open-source computer algebra system that provides advanced mathematical functions for symbolic computation and algebraic manipulations. It is used in research and education for solving mathematical equations and problems.

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SageMath:

A free open-source mathematics software system that integrates various mathematical software libraries and tools for algebra, calculus, number theory, and more. It is used in research and education for mathematical computations and programming.

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Desmos:

An online graphing calculator that allows users to plot functions, create interactive graphs, and explore mathematical concepts. It is commonly used in education for visualizing mathematical functions and equations.

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Mathematica Online:

An online version of the Mathematica software that allows users to perform mathematical computations, graphing, and programming tasks in a web browser. It offers a wide range of mathematical tools and functions for educational and professional use.

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Octave:

An open-source software for numerical computations and programming that is compatible with MATLAB. It is commonly used for solving linear algebra, optimization, and signal processing problems.

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SymPy:

A Python library for symbolic mathematics that provides tools for algebraic manipulation, calculus, and equation solving. It is used in scientific computing and research for symbolic mathematics tasks.

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These are all nothing compared to brainly's giphy!1 and uh yea.

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