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Interval: Indonesian Journal of Mathematical Education

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A Numerical Study of Bracketing Root-Finding Methods for Nonlinear Equations: Applications to Break-Even Point Determination

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  • Purpose of the study: The purpose of this study is to compare the results of the Bisection Method, the Regula Falsi Method and the Secant Method in completing Break Even analysis.

    Methodology: The research method used is an applied method. The research location is the library of Alauddin State Islamic University, Makassar. The research procedure used by the researcher is to compare the results of the Bisection Method, the Regula Falsi Method, and the Secant Method in solving Break-Even Analysis.

    Main Findings: The results show that the secant method is an efficient method for conducting break-even analysis. This is demonstrated by the error value obtained at the end of the iteration process, which shows the smallest error value. In other experiments, the secant method also showed fewer iterations than other methods.

    Novelty/Originality of this study: This research can be used as reference material for readers who want to compare the bisection method and the falsi-regularization method. Furthermore, the researchers use the results as a means of evaluating the ability to apply theories in numerical courses.

  • How to cite

    A Numerical Study of Bracketing Root-Finding Methods for Nonlinear Equations: Applications to Break-Even Point Determination. (2025). Interval: Indonesian Journal of Mathematical Education, 3(2), 213-218. https://doi.org/10.37251/ijome.v3i2.2782
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    1. C. Cattani, “Nonlinear Analysis and Computer Simulations : New Horizons in Theory and Applications,” Nonlinear Anal. Comput. Simulations, vol. 1, no. 1, pp. 1–6, 2026. DOI: https://doi.org/10.53941/nacs.2026.100005
    2. D. Wang, M. Ha, and M. Zhao, “The intelligent critic framework for advanced optimal control,” Artif. Intell. Rev., vol. 55, no. 1, pp. 1–22, Jan. 2022, doi: 10.1007/s10462-021-10118-9. DOI: https://doi.org/10.1007/s10462-021-10118-9
    3. J. Chessari, R. Kawai, Y. Shinozaki, and T. Yamada, “Numerical methods for backward stochastic differential equations: A survey,” Probab. Surv., vol. 20, pp. 486–567, Jan. 2023, doi: 10.1214/23-PS18. DOI: https://doi.org/10.1214/23-PS18
    4. R. A. Alharbey, W. R. Alrefae, H. Malaikah, E. Tag-Eldin, and S. A. El-Tantawy, “Novel Approximate Analytical Solutions to the Nonplanar Modified Kawahara Equation and Modeling Nonlinear Structures in Electronegative Plasmas,” Symmetry (Basel)., vol. 15, no. 1, p. 97, Dec. 2022, doi: 10.3390/sym15010097. DOI: https://doi.org/10.3390/sym15010097
    5. F. Mirzaee, S. Naserifar, and E. Solhi, “Accurate and stable numerical method based on the Floater-Hormann interpolation for stochastic Itô-Volterra integral equations,” Numer. Algorithms, vol. 94, no. 1, pp. 275–292, Sep. 2023, doi: 10.1007/s11075-023-01500-5. DOI: https://doi.org/10.1007/s11075-023-01500-5
    6. H. M. Srivastava, W. Adel, M. Izadi, and A. A. El-Sayed, “Solving Some Physics Problems Involving Fractional-Order Differential Equations with the Morgan-Voyce Polynomials,” Fractal Fract., vol. 7, no. 4, p. 301, Mar. 2023, doi: 10.3390/fractalfract7040301. DOI: https://doi.org/10.3390/fractalfract7040301
    7. B. M. Faraj, S. K. Rahman, D. A. Mohammed, B. M. Hussein, B. A. Salam, and K. R. Mohammed, “An Improved Bracketing Method For Numerical Solution Of Nonlinear Equations Based On Ridders Method,” Matrix Sci. Math., vol. 6, no. 2, pp. 30–33, 2022, doi: 10.26480/msmk.02.2022.30.33. DOI: https://doi.org/10.26480/msmk.02.2022.30.33
    8. M. I. Soomro, Z. A. Kalhoro, A. W. Shaikh, S. Jamali, and Owais Ali, “Modified Bracketing Iterative Method for Solving Nonlinear Equations,” VFAST Trans. Math., vol. 12, no. 1, pp. 105–120, Apr. 2024, doi: 10.21015/vtm.v12i1.1761.
    9. E. Badr, H. Attiya, and A. El Ghamry, “Novel hybrid algorithms for root determining using advantages of open methods and bracketing methods,” Alexandria Eng. J., vol. 61, no. 12, pp. 11579–11588, 2022, doi: 10.1016/j.aej.2022.05.007. DOI: https://doi.org/10.1016/j.aej.2022.05.007
    10. M. I. Soomro, Z. A. Kalhoro, A. W. Shaikh, S. Jamali, and Owais Ali, “Modified Bracketing Iterative Method for Solving Nonlinear Equations,” VFAST Trans. Math., vol. 12, no. 1, pp. 105–120, 2024, doi: 10.21015/vtm.v12i1.1761. DOI: https://doi.org/10.21015/vtm.v12i1.1761
    11. Inderjeet and Rashmi Bhardwaj, “Numerical Simulation of Nonlinear Equations by Modified Bisection and Regula Falsi Method,” Proc. Pakistan Acad. Sci. A. Phys. Comput. Sci., vol. 62, no. 1, pp. 11–19, Mar. 2025, doi: 10.53560/PPASA(62-1)873. DOI: https://doi.org/10.53560/PPASA(62-1)873
    12. Inderjeet and R. Bhardwaj, “An integrated approach of the numerical simulation of nonlinear equations by modified bisection and Regula Falsi method,” J. Interdiscip. Math., vol. 28, no. 4, pp. 1553–1571, 2025, doi: 10.47974/JIM-2136. DOI: https://doi.org/10.47974/JIM-2136
    13. G. Gulshan, H. Budak, R. Hussain, and A. Sadiq, “Generalization of the bisection method and its applications in nonlinear equations,” Adv. Contin. Discret. Model., vol. 2023, no. 1, p. 18, Mar. 2023, doi: 10.1186/s13662-023-03765-5. DOI: https://doi.org/10.1186/s13662-023-03765-5
    14. M. R. Bhatt, H. L. Dhungana, and G. R. Dhakal, “A Numerical Perspective on Solving Non-Linear Equations: Newton Vs. Bisection,” Acad. J. Math. Educ., vol. 7, no. 1, pp. 74–80, 2024, doi: 10.3126/ajme.v7i1.81460. DOI: https://doi.org/10.3126/ajme.v7i1.81460
    15. M. I. F. Faizal, T. A. Azizi, R. Jaafar, N. S. K. Abdullah, Z. Mohd Yusof, and N. A. Hassanuddin, “A comparative study of the Regula Falsi method, Newton’s method, and the steepest descent method for solving nonlinear equations,” Data Anal. Appl. Math., vol. 6, no. 2, pp. 10–15, 2025, doi: 10.15282/daam.v6i2.13044. DOI: https://doi.org/10.15282/daam.v6i2.13044
    16. S. Kaur and S. K. Sharma, “An Efficient Iterative Methods for Solving Transcendental Equations,” 2023, pp. 191–203. doi: 10.1007/978-981-99-2468-4_15. DOI: https://doi.org/10.1007/978-981-99-2468-4_15
    17. G. Venkat Narayanan, “A Comparative Study Of Numerical Methods For Solving Nonlinear Equations,” Int. J. Appl. Math., vol. 38, no. 5s, pp. 898–912, Oct. 2025, doi: 10.12732/ijam.v38i5s.358. DOI: https://doi.org/10.12732/ijam.v38i5s.358
    18. N. K. Murugaiyan, K. Chandrasekaran, M. M. Devapitchai, and T. Senjyu, “Parameter Estimation of Three-Diode Photovoltaic Model Using Reinforced Learning-Based Parrot Optimizer with an Adaptive Secant Method,” Sustain., vol. 16, no. 23, pp. 1–34, 2024, doi: 10.3390/su162310603. DOI: https://doi.org/10.3390/su162310603
    19. F. Khan, “Optimization Techniques in Applied Mathematics: From Physics Simulations to Real-World Problems,” Front. Appl. Phys. Math., vol. 01, no. 02, pp. 97–109, 2024.
    20. R. Rishabh and K. N. Das, “A Critical Review on Metaheuristic Algorithms based Multi-Criteria Decision-Making Approaches and Applications,” Arch. Comput. Methods Eng., vol. 32, no. 2, pp. 963–993, Mar. 2025, doi: 10.1007/s11831-024-10165-9. DOI: https://doi.org/10.1007/s11831-024-10165-9
    21. Z. Gubio, L. Olumide Mustapha, S. E. Agbi, Z. D. Gubio, L. O. Mustapha, and S. E. Agbi, “The effect of break-even-point analysis in decision making in some selected block industries within Kaduna Metropolis,” Quest Journals J. Res. Bus. Manag., vol. 10, no. 5, pp. 22–32, 2022, [Online]. Available: www.questjournals.org
    22. S. Zahirović, J. Okičić, and A. Gadžo, “Generalization of Linear Models for Multiproduct Break-Even Analysis With Constant Ratios,” Eurasian J. Bus. Manag., vol. 12, no. 1, pp. 1–14, 2025, doi: 10.15604/ejbm.2024.12.01.001. DOI: https://doi.org/10.15604/ejbm.2024.12.01.001
    23. A. Hasanudin, “Calculation of loan amount when cooperatives do not make profits with non-linear equation method using secant and its implementation With MATLAB,” J. Mercumatika J. Penelit. Mat. dan Pendidik. Mat., vol. 8, no. 1, p. 18, 2023.
    24. C. Wang, D. Yang, J. Lyu, Y. Dai, C. Zhuo, and Q. Chen, “On Model Order Reduction and Exponential Integrator for Transient Circuit Simulation,” IEEE Trans. Comput. Des. Integr. Circuits Syst., vol. 43, no. 1, pp. 328–339, 2024, doi: 10.1109/TCAD.2023.3309734. DOI: https://doi.org/10.1109/TCAD.2023.3309734
    25. J. Syrůček, L. Bartoň, and J. Burdych, “Break-even point analysis for milk production - Selected EU countries,” Agric. Econ. (Zemědělská Ekon., vol. 68, no. 6, pp. 199–206, Jun. 2022, doi: 10.17221/40/2022-AGRICECON. DOI: https://doi.org/10.17221/40/2022-AGRICECON
    26. A.-M. B. Oluwayemisi, A. I. Felix, F. T. Olajumoke, A. S. Ayodeji, and S. S. Ojeme, “Break-Even Analysis and Decision Making: An Empirical Investigation of Selected Listed Non-Financial Firms in Nigeria,” Euro Econ., vol. 2, no. 1, pp. 7–15, 2022.
    27. N. Nisha and M. Abouagwa, “Mathematics: The Backbone of Smart Business Decisions,” in Marketing Strategies for Total Quality Management in Hospitality Excellence, IGI Global Scientific Publishing, 2025, pp. 187–210. doi: 10.4018/979-8-3693-8608-8.ch009. DOI: https://doi.org/10.4018/979-8-3693-8608-8.ch009
    28. D. Botticelli, K. A. Apaza Alccayhuaman, S. P. Xavier, E. R. Silva, Y. Nakajima, and S. Baba, “From Break-Even Point to Dynamic Regenerative Balance: A Conceptual and Quantitative Framework Based on Preclinical Rabbit Sinus Lift Data,” Dent. J., vol. 13, no. 10, pp. 1–17, 2025, doi: 10.3390/dj13100469. DOI: https://doi.org/10.3390/dj13100469
    29. S. P. Hong, “Different Numerical Techniques, Modeling and Simulation in Solving Complex Problems,” J. Mach. Comput., vol. 3, no. 2, pp. 58–68, 2023, doi: 10.53759/7669/jmc202303007. DOI: https://doi.org/10.53759/7669/jmc202303007
    30. M. Ozkan-Okay et al., “A Comprehensive Survey: Evaluating the Efficiency of Artificial Intelligence and Machine Learning Techniques on Cyber Security Solutions,” IEEE Access, vol. 12, no. November 2023, pp. 12229–12256, 2024, doi: 10.1109/ACCESS.2024.3355547. DOI: https://doi.org/10.1109/ACCESS.2024.3355547
    31. A. Naseem, M. A. Rehman, and T. Abdeljawad, “A Novel Root-Finding Algorithm with Engineering Applications and its Dynamics via Computer Technology,” IEEE Access, vol. 10, no. 1, pp. 19677–19684, 2022, doi: 10.1109/ACCESS.2022.3150775. DOI: https://doi.org/10.1109/ACCESS.2022.3150775
    32. M. Pakdemirli, “On Functional Series With Applications To Root Finding Techniques And To Ordinary Differential Equations,” Matrix Sci. Math., vol. 8, no. 2, pp. 72–76, 2024, doi: 10.26480/msmk.02.2024. DOI: https://doi.org/10.26480/msmk.02.2024.72.76
    33. W. Zhao, G. Yang, M. Jiang, L. Meng, and M. Wang, “A Survey of Comprehensive Evaluation Methods,” in 2024 11th International Conference on Dependable Systems and Their Applications (DSA), IEEE, Nov. 2024, pp. 260–268. doi: 10.1109/DSA63982.2024.00042. DOI: https://doi.org/10.1109/DSA63982.2024.00042
    34. J. Hou, T. Gao, Y. Yang, X. Wang, Y. Yang, and S. Meng, “Battery inconsistency evaluation based on hierarchical weight fusion and fuzzy comprehensive evaluation method,” J. Energy Storage, vol. 84, p. 110878, Apr. 2024, doi: 10.1016/j.est.2024.110878. DOI: https://doi.org/10.1016/j.est.2024.110878
    35. N. J. Fox and P. Alldred, “Applied Research, Diffractive Methodology, and the Research-Assemblage: Challenges and Opportunities,” Sociol. Res. Online, vol. 28, no. 1, pp. 93–109, 2023, doi: 10.1177/13607804211029978. DOI: https://doi.org/10.1177/13607804211029978
    36. R. Bell and V. Warren, “Illuminating a methodological pathway for doctor of business administration researchers: Utilizing case studies and mixed methods for applied research,” Soc. Sci. Humanit. Open, vol. 7, no. 1, p. 100391, 2023, doi: 10.1016/j.ssaho.2022.100391. DOI: https://doi.org/10.1016/j.ssaho.2022.100391
    37. H. J. Hamayd, A. F. A. Ali, S. M. Khalaf, and M. J. Hameed, “Analysis and Optimization of Iterative Methods for Solving Nonlinear Equations,” Int. J. Appl. Math., vol. 38, no. 8s, pp. 178–199, 2025, doi: 10.12732/ijam.v38i8s.555. DOI: https://doi.org/10.12732/ijam.v38i8s.555
    38. A. Y. Almansour and B. Y. Almansour, “Optimizing Break-Even Point: A New Methodology for Identifying Critical Components and Managing Financial Stability,” Montenegrin J. Econ., vol. 20, no. 4, pp. 51–63, 2024, [Online]. Available: http://www.mnje.com/sites/mnje.com/files/47-54_todorovic.pdf DOI: https://doi.org/10.14254/1800-5845/2024.20-4.5
    39. P. Candio and E. Frew, “How much behaviour change is required for the investment in cycling infrastructure to be sustainable? A break-even analysis,” PLoS One, vol. 18, no. 4 April, pp. 1–14, 2023, doi: 10.1371/journal.pone.0284634. DOI: https://doi.org/10.1371/journal.pone.0284634
    40. I. A. R. Moghrabi, “A new secant-like quasi-Newton method for unconstrained optimisation,” Int. J. Oper. Res., vol. 49, no. 1, pp. 65–84, 2024, doi: 10.1504/IJOR.2024.136006. DOI: https://doi.org/10.1504/IJOR.2024.136006
    41. P. Berzi, “Convergence and Stability Improvement of Quasi-Newton Methods by Full-Rank Update of the Jacobian Approximates,” AppliedMath, vol. 4, no. 1, pp. 143–181, Jan. 2024, doi: 10.3390/appliedmath4010008. DOI: https://doi.org/10.3390/appliedmath4010008
    42. I. Imbayah, M. Khaleel, and Z. Yusupov, “Optimization of Hybrid Renewable Energy Systems : Classical Optimization Methods , Artificial Intelligence , Recent Trend , and Software Tools,” Int. J. Electr. Eng. Sustain., vol. 3, no. 4, pp. 47–69, 2025.
    43. B. Paradowski, J. Wątróbski, and W. Sałabun, “Novel coefficients for improved robustness in multi-criteria decision analysis,” Artif. Intell. Rev., vol. 58, no. 10, p. 298, Jul. 2025, doi: 10.1007/s10462-025-11307-6. DOI: https://doi.org/10.1007/s10462-025-11307-6
    44. A. Czerwinski, “Mathematics Serving Economics: A Historical Review of Mathematical Methods in Economics,” Symmetry (Basel)., vol. 16, no. 10, p. 1271, Sep. 2024, doi: 10.3390/sym16101271. DOI: https://doi.org/10.3390/sym16101271
    45. M. Dyvak, A. Melnyk, A. Rot, M. Hernes, and A. Pukas, “Ontology of Mathematical Modeling Based on Interval Data,” Complexity, vol. 2022, no. 1, Jan. 2022, doi: 10.1155/2022/8062969. DOI: https://doi.org/10.1155/2022/8062969