Year 2025,
Issue: 062, 148 - 159, 30.09.2025
Khadeejah James Audu
,
Mahmud Adeiza Lawal
,
Oloruntobi Olalekan Balogun
,
Abraham Ajeolu Oluwasegun
,
Stephen Udugbai Egbe
References
-
[1] G. Airlangga, “Advanced Seismic Data Analysis: Comparative study of Machine Learning and Deep Learning for Data Prediction and Understanding,” Brilliance: Research of Artificial Intelligence, vol. 3, no. 2, pp. 456–465., 2024.
-
[2] K. J. Audu, “Application of Singular Value Decomposition technique for compressing images,” Gadau Journal of Pure and Allied Sciences, 2022, 1(2), 82–94.
-
[3] S. Barnett,“Distinct Characteristics of Matrices and Their Applications in Linear Algebra, Optimization, and Signal Processing”, Journal of Mathematical Applications in Engineering, 2023, 78(1), 45-58.
-
[4] X. Guan, “Matrices: Essential Tools Across Disciplines,” Journal of Mathematical Applications, 2022, 45(2), 123-135.
-
[5] A. Gómez, B. Martinez, C. Lopez and D. Rodriguez, “Application of Matrix-Based Decision Models in Evaluating Strategic Alternatives,” Strategic Management Journal, 2021, 38(3), 210-225.
-
[6] X. Guan, “Basic Operations and Properties of Matrices,” International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021),12163.
-
[7] X. Song, “Research On Application of Mathematical Modeling Based On Matrix Theory,” Frontiers in Computing and Intelligent Systems, 2022, 2(2), 19-21.
-
[8] S. Barnett, “Distinct Characteristics of Matrices and Their Applications in Linear Algebra, Optimization, and Signal Processing,” Journal of Mathematical Applications in Engineering, 2023, 78(1), 45-58.
-
[9] P. Boito, “Matrix Structures and Matrix Functions,” Proceedings of the 2023 International Symposium on Symbolic and Algebraic Computation.
-
[10] k. J. Audu, O. O. Oluwole, Y. A. Yahaya, S. D. Egwu, “The Application of Linear Algebra in Machine Learning,” School of physical sciences biennial international conference Futminna 2024.
-
[11] M. Ceddia, L. Comuzzi, N. Di Pietro, T. Romasco, A. Specchiulli, A. Piattelli, and B. Trentadue, “Finite element analysis (FEA) for the evaluation of retention in a conometric connection for implant and prosthesis,” Osteology, 2023, 3(4), 140–156.
-
[12] X. Chen, Y. Zhang, Q. Wang, and Z. Liu, “Matrix-Based Optimization Techniques: Maximizing Resource Utilization and Minimizing Production Costs,” Journal of Operations Management, 2021, 45(2), 67-82.
-
[13] K. J. Audu, Y. C. Elisha, Y. A. Yahaya, S. A. Akande, “The Practical Integration of Linear Algebra in Genetics, Cubic Spline Interpolation, Electric Circuits and Traffic flow,” Bitlis Eren University Journal of Science and Technology, 2024, 14(1), 23-42.
-
[14] A. A. Hadi, “Matrix Application in Engineering Problems. In Intelligent Systems and Networks,” Springer Singapore, 2021, 589–598.
-
[15] J. Smith, R. Adams, S. Brown, and M. Davis, “Application of Linear Programming Models Formulated in Matrix Form,” Operations Research, 2021, 65(4), 123-135.
-
[16] Q. Song, and Q. Zhao, “Recent Advances in Robotics and Intelligent Robot’s Applications,” Applied Sciences, 2024, 14(10), 4279.
-
[17] J. Vince, “Matrix algebra. In Mathematics for Computer Graphics,” Springer London, 2022, (pp. 119–150).
-
[18] Z. Wang, S. Li, W. Liu, and Q. Zhao, “Matrix-Based Control Techniques in Regulating Trajectory and Velocity,” Automatica, 2021,67, 89-102.
-
[19] A. Martinez, B. Lopez, C. Rodriguez, and D. Garcia, “Application of Matrix-Based Dynamic Models in Analyzing Robotic Manipulator Motion,” IEEE Transactions on Robotics, 2022, 36(3), 456-469.
-
[20] I. Tomozei, C. Sebu, and T. Axinte, “Simulations of A 2R Robotic Arm with MATLAB Program,” Technium: Romanian Journal of Applied Sciences and Technology, 2023,10, 1–5.
-
[21] S. Ghosh, Supermarket Sales Data Analysis - Sheet1.csv. GitHub.2024. Available at: https://github.com/sushantag9/Supermarket-Sales-Data-Analysis/blob/master/supermarket_sales%20-%20Sheet1.csv (Accessed 25 Mar 2025).
Exploring matrix applications across interdisciplinary domains: insights from business, geology and robotics
Year 2025,
Issue: 062, 148 - 159, 30.09.2025
Khadeejah James Audu
,
Mahmud Adeiza Lawal
,
Oloruntobi Olalekan Balogun
,
Abraham Ajeolu Oluwasegun
,
Stephen Udugbai Egbe
Abstract
The paper focuses on exploring the use of matrices in Business, Geology, and Robotics, in order to determine how such combination can solve practical aspects of problems and promote multidisciplinary approach. In this regard, the paper reviews the principles and practices of matrices as a mathematical tool, to demonstrate their relevance within the context of scientific and engineering activities. This research deploys complex and advanced matrix techniques and explores the impacts of these techniques to problems in each of the fields and demonstrate their practicality through the application of real-world applications.
The methodology provides a comprehensive review of matrix application by using quantitative methods. The results show the importance of use of matrices in these fields. In the field of Robotics, it extends to motion control and spatial orientation through the use of matrices. In Geology, matrix methods are applied in analyzing seismic data so as to produce a more accurate explanation and summary of the earth’s internal structure. In Business, matrices were utilized in establishing the profit margin on businesses and to help manage investment portfolios.
References
-
[1] G. Airlangga, “Advanced Seismic Data Analysis: Comparative study of Machine Learning and Deep Learning for Data Prediction and Understanding,” Brilliance: Research of Artificial Intelligence, vol. 3, no. 2, pp. 456–465., 2024.
-
[2] K. J. Audu, “Application of Singular Value Decomposition technique for compressing images,” Gadau Journal of Pure and Allied Sciences, 2022, 1(2), 82–94.
-
[3] S. Barnett,“Distinct Characteristics of Matrices and Their Applications in Linear Algebra, Optimization, and Signal Processing”, Journal of Mathematical Applications in Engineering, 2023, 78(1), 45-58.
-
[4] X. Guan, “Matrices: Essential Tools Across Disciplines,” Journal of Mathematical Applications, 2022, 45(2), 123-135.
-
[5] A. Gómez, B. Martinez, C. Lopez and D. Rodriguez, “Application of Matrix-Based Decision Models in Evaluating Strategic Alternatives,” Strategic Management Journal, 2021, 38(3), 210-225.
-
[6] X. Guan, “Basic Operations and Properties of Matrices,” International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021),12163.
-
[7] X. Song, “Research On Application of Mathematical Modeling Based On Matrix Theory,” Frontiers in Computing and Intelligent Systems, 2022, 2(2), 19-21.
-
[8] S. Barnett, “Distinct Characteristics of Matrices and Their Applications in Linear Algebra, Optimization, and Signal Processing,” Journal of Mathematical Applications in Engineering, 2023, 78(1), 45-58.
-
[9] P. Boito, “Matrix Structures and Matrix Functions,” Proceedings of the 2023 International Symposium on Symbolic and Algebraic Computation.
-
[10] k. J. Audu, O. O. Oluwole, Y. A. Yahaya, S. D. Egwu, “The Application of Linear Algebra in Machine Learning,” School of physical sciences biennial international conference Futminna 2024.
-
[11] M. Ceddia, L. Comuzzi, N. Di Pietro, T. Romasco, A. Specchiulli, A. Piattelli, and B. Trentadue, “Finite element analysis (FEA) for the evaluation of retention in a conometric connection for implant and prosthesis,” Osteology, 2023, 3(4), 140–156.
-
[12] X. Chen, Y. Zhang, Q. Wang, and Z. Liu, “Matrix-Based Optimization Techniques: Maximizing Resource Utilization and Minimizing Production Costs,” Journal of Operations Management, 2021, 45(2), 67-82.
-
[13] K. J. Audu, Y. C. Elisha, Y. A. Yahaya, S. A. Akande, “The Practical Integration of Linear Algebra in Genetics, Cubic Spline Interpolation, Electric Circuits and Traffic flow,” Bitlis Eren University Journal of Science and Technology, 2024, 14(1), 23-42.
-
[14] A. A. Hadi, “Matrix Application in Engineering Problems. In Intelligent Systems and Networks,” Springer Singapore, 2021, 589–598.
-
[15] J. Smith, R. Adams, S. Brown, and M. Davis, “Application of Linear Programming Models Formulated in Matrix Form,” Operations Research, 2021, 65(4), 123-135.
-
[16] Q. Song, and Q. Zhao, “Recent Advances in Robotics and Intelligent Robot’s Applications,” Applied Sciences, 2024, 14(10), 4279.
-
[17] J. Vince, “Matrix algebra. In Mathematics for Computer Graphics,” Springer London, 2022, (pp. 119–150).
-
[18] Z. Wang, S. Li, W. Liu, and Q. Zhao, “Matrix-Based Control Techniques in Regulating Trajectory and Velocity,” Automatica, 2021,67, 89-102.
-
[19] A. Martinez, B. Lopez, C. Rodriguez, and D. Garcia, “Application of Matrix-Based Dynamic Models in Analyzing Robotic Manipulator Motion,” IEEE Transactions on Robotics, 2022, 36(3), 456-469.
-
[20] I. Tomozei, C. Sebu, and T. Axinte, “Simulations of A 2R Robotic Arm with MATLAB Program,” Technium: Romanian Journal of Applied Sciences and Technology, 2023,10, 1–5.
-
[21] S. Ghosh, Supermarket Sales Data Analysis - Sheet1.csv. GitHub.2024. Available at: https://github.com/sushantag9/Supermarket-Sales-Data-Analysis/blob/master/supermarket_sales%20-%20Sheet1.csv (Accessed 25 Mar 2025).