Maxima software as a facilitating object in the affine function modeling process

Authors

  • Henrique Lobato Mestrado Profissional em Matemática em Rede Nacional (PROFMAT), Universidade Federal do Tocantins (UFT)
  • Jairomar de Araújo Sobrinho Mestrado Profissional em Matemática em Rede Nacional (PROFMAT), Universidade Federal do Tocantins (UFT)
  • Romis de Sousa Moraes Mestrado Profissional em Matemática em Rede Nacional (PROFMAT), Universidade Federal do Tocantins (UFT) https://orcid.org/0000-0002-6451-8461
  • Paulo Cléber Mendonça Teixeira Mestrado Profissional em Matemática em Rede Nacional (PROFMAT), Universidade Federal do Tocantins (UFT)
  • Warley Gramacho da Silva Mestrado Profissional em Matemática em Rede Nacional (PROFMAT), Universidade Federal do Tocantins (UFT)

DOI:

https://doi.org/10.20873/uft.2675-3588.2024.v5n1.p17-20

Keywords:

Affine Function, Maxima Software, Mathematical Modeling

Abstract

The modeling of linear functions is an essential technique for comprehending the linear relationships that exist in various fields of knowledge. In this article, we delve into the efficient use of Maxima software for modeling linear functions. As an open-source computational algebra system, Maxima provides a wealth of resources for symbolic manipulation, numerical computations, and graph generation. The step-by-step guide in this article illustrates how to define linear functions, evaluate expressions at specific points, and create graphs to visualize the outcomes. The article highlights the symbolic accuracy of Maxima and how it is significant in linear function modeling, particularly in fields such as economics, physics, and engineering. It is concluded that mastering the modeling of linear functions using Maxima leads to a deeper understanding of linear relationships, equipping students, researchers, and professionals with the ability to solve real-world problems. Additionally, it provides a robust foundation for exploring other features of Maxima in more extensive mathematical contexts.

Published

2023-12-12

How to Cite

[1]
Lobato, H. et al. 2023. Maxima software as a facilitating object in the affine function modeling process. Academic Journal on Computing, Engineering and Applied Mathematics. 5, 1 (Dec. 2023), 17–20. DOI:https://doi.org/10.20873/uft.2675-3588.2024.v5n1.p17-20.

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Special Session

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