USING THE GEOGEBRA TOOLKIT TO SOLVE OPTIMIZATION PROBLEMS USING A GRAPHICAL METHOD
Authors:
1.
Rossiyskiy universitet transporta (MIIT)
2.
Rossiyskiy universitet transporta (MIIT)
Type:
Сonference article
Pages:
from 201
to 205
Published:
14.01.2025
Language:
Russian
Keywords:
Visualization, optimality, GeoGebra, nonlinear programming.
Abstract:
Modern economists and managers face high-level problems that require indepth analysis and modeling. To successfully solve such problems, where the dependencies on variables are nonlinear, they need the ability to find optimal solutions. This facilitates informed decision-making that promotes economic development and stability. However, there are no universal methods for solving nonlinear problems, so visualization, visibility and interactivity of the process play an important role in their resolution. GeoGebra provides visualization of the area of acceptable solutions and identification of critical points, which simplifies the process of finding a solution. Thanks to the dynamic geometric shapes in GeoGebra, you can explore various solutions and change the parameters for analysis.
Modern economists and managers face high-level problems that require indepth analysis and modeling. To successfully solve such problems, where the dependencies on variables are nonlinear, they need the ability to find optimal solutions. This facilitates informed decision-making that promotes economic development and stability. However, there are no universal methods for solving nonlinear problems, so visualization, visibility and interactivity of the process play an important role in their resolution. GeoGebra provides visualization of the area of acceptable solutions and identification of critical points, which simplifies the process of finding a solution. Thanks to the dynamic geometric shapes in GeoGebra, you can explore various solutions and change the parameters for analysis.
Keywords:
Visualization, optimality, GeoGebra, nonlinear programming.
Visualization, optimality, GeoGebra, nonlinear programming.
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2. Larin S.V. Metodika obucheniya matematike: komp'yuternaya animaciya v srede GeoGebra [Tekst]: ucheb. posobie dlya vuzov / S.V. Larin. — M.: Yurayt, 2019. — 233 s.
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