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USING MATLAB TO STUDY MATRICES AND LINEAR

Solving linear systems is a fundamental task in several areas of mathematics and engineering, playing a crucial role in solving real-world problems. MATLAB, a powerful numerical computing platform, offers a wide range of tools and resources to efficiently address this type of problem. For the purposes of this article, we will explore how MATLAB can be used to solve linear systems. Additionally, MATLAB offers the ability to work with matrices, making it particularly suitable for dealing with systems of linear equations represented in this form. Through practical examples, we will illustrate how to use MATLAB functionalities to solve linear systems of different sizes and complexities. Finally, we will highlight the advantages of using MATLAB to solve linear systems, including its computational efficiency, ability to deal with large and complex systems, and the ease of visualizing results, making it a great tool to help students in their studies and research.

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USING MATLAB TO STUDY MATRICES AND LINEAR

  • DOI: https://doi.org/10.22533/at.ed.317462423023

  • Palavras-chave: linear algebra; MATLAB; linear systems.

  • Keywords: linear algebra; MATLAB; linear systems.

  • Abstract:

    Solving linear systems is a fundamental task in several areas of mathematics and engineering, playing a crucial role in solving real-world problems. MATLAB, a powerful numerical computing platform, offers a wide range of tools and resources to efficiently address this type of problem. For the purposes of this article, we will explore how MATLAB can be used to solve linear systems. Additionally, MATLAB offers the ability to work with matrices, making it particularly suitable for dealing with systems of linear equations represented in this form. Through practical examples, we will illustrate how to use MATLAB functionalities to solve linear systems of different sizes and complexities. Finally, we will highlight the advantages of using MATLAB to solve linear systems, including its computational efficiency, ability to deal with large and complex systems, and the ease of visualizing results, making it a great tool to help students in their studies and research.

  • Camila Fredegoto Santos
  • Wellington José Corrêa
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