TARU PUBLICATIONS
Journal of Interdisciplinary Mathematics cover
Hybrid ·Peer-reviewed·ISSN (Online): 2169-012X·ISSN (Print): 0972-0502

Monthly Journal: Publishes the methodological and theoretical role of mathematics and mathematical applications underpinning scientific research.

Issues up to 2022 co-published with and available at:Taylor & Francis Online
submissions@tarupublications.com
Open Access Research Article

High-accuracy Runge–Kutta methods for stiff ODE systems

, , * , , ,

* Corresponding author · click or hover a name for details

pp. 2217–2225Vol. 28Issue 6September 2025DOI: 10.47974/JIM-2363XML
Received:
01 Dec 2024
Published Online:
30 Sep 2025
Article type:
Research Article
Language:
EN
Article no.:
JIM-2363
Pages:
2217–2225

Abstract

Ordinary differential equations (ODEs) that are stiff come up a lot in science and engineering. They need numerical methods that balance stability, speed, and accuracy. In strict regimes, explicit Runge–Kutta schemes don’t always work, and implicit schemes are very hard to compute. This study creates high-precision Runge–Kutta methods that focus on L-stability and order conditions to make sure they are stable. To get the best results when handling stiff problems, modified stability-preserving formulas and hybrid implicit-explicit (IMEX) methods are suggested. These methods give us a solid way to solve complicated stiff ODE systems that happen in the real world and cover many areas.

Keywords

Subject Classifications

65L0632G34

References

[1] S. H. Nasab and B. C. Vermeire, “Third-order paired explicit Runge–Kutta schemes for stiff systems of equations,” J. Comput. Phys., vol. 468, pp. 111470 (2022).
[2] S. H. Nasab, C. A. Pereira, and B. C. Vermeire, “Optimal Runge–Kutta stability polynomials for multidimensional high-order methods,” J. Sci. Comput., vol. 89, pp. 11 (2021).
[3] D. Doehring, M. Schlottke-Lakemper, G. J. Gassner, and M. Torrilhon, “Multirate time-integration based on dynamic ODE partitioning through adaptively refined meshes for compressible fluid dynamics,” J. Comput. Phys., vol. 514, pp. 113223 (2024).
[4] D. Doehring, G. J. Gassner, and M. Torrilhon, “Many-stage optimal stabilized Runge–Kutta methods for hyperbolic partial differential equations,” J. Sci. Comput., vol. 99, pp. 28 (2024).
[5] G.-D. Hu and Z. Wang, “A modified Runge–Kutta method for increasing stability properties,” J. Comput. Appl. Math., vol. 441, pp. 115698 (2024).
[6] A. D. Jauhari, A. Munjal, and S. Kumar, “Absolute linear method of summation with weighted mean,” J. Interdiscip. Math., vol. 28, no. 4, pp. 1417–1428 (2025), doi: 10.47974/JIM-1919.
[7] L. Aceto, D. Conte, and G. Pagano, “On a generalization of time-accurate and highly-stable explicit operators for stiff problems,” Appl. Numer. Math., vol. 200, pp. 2–17 (2024).
[8] Z. Kalogiratou and T. Monovasilis, “Construction of two-derivative Runge–Kutta methods of order six,” Algorithms, vol. 16, pp. 558 (2023).
[9] A. A. Bamanikar, R. Kolte, P. Kasture, A. Jogi, and R. Joshi, “Virtual labs for chemical experiments,” Int. J. Recent Adv. Eng. Technol. (IJRAET), vol. 14, no. 1, pp. 118–122 (Apr. 2025).
[10] C. Bedjguelel, H. Gharout, and B. Farhi, “Dynamics analysis of the modified Beverton-Holt model,” J. Interdiscip. Math., vol. 27, no. 6, pp. 1257–1271 (2024), doi: 10.47974/JIM-1748.
[11] S. J. Desai and K. G. Kharade, “Stock market price prediction using LSTM,” Int. J. Adv. Comput. Theory Eng., vol. 14, no. 1, pp. 16–19 (Apr. 2025).
[12] A. Godbole, R. Dhabliya, V. Deshpande, S. A. Sivakumar, B. M. Shankar, and V. Khetani, “Ethical hacking and penetration testing strengthening cybersecurity posture through offensive security measures,” J. Discrete Math. Sci. Cryptogr., vol. 27, no. 4, pp. 1295–1305 (2024).

Views: 260Downloads: 89Citations: 0