References

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[2] R. L. Burden and J. D. Faires, Numerical Analysis, 9th ed. Boston, MA, USA: Brooks/Cole, Cengage Learning, 2011.

[3] S. C. Chapra and R. P. Canale, Numerical Methods for Engineers, 7th ed. New York, NY, USA: McGraw-Hill Education, 2015.

[4] C. F. Gerald and P. O. Wheatley, Applied Numerical Analysis, 5th ed. Reading, MA, USA: Addison-Wesley, 1994.

[5] M. K. Jain, S. R. K. Iyengar and R. K. Jain, Numerical Methods for Scientific and Engineering Computation, 6th ed. New Delhi, India: New Age International, 2012.

[6] Brautigam, Mark. "Solving Ordinary Differential Equations Using the Euler and Runge-Kutta Methods." (2025).

[7] Garcia-Mallen, Jonathan, Shuohao Ping, Alex Miralles-Cordal, Ian Martin, Mukund Ramakrishnan, and Yipeng Huang. "Towards an accelerator for differential and algebraic equations useful to scientists." IEEE Computer Architecture Letters 22, no. 2 (2023): 185-188.

[8] Bieberich, Samuel, Pat Li, James Ngai, Krish Patel, Ryan Vogt, Priyanka Ranade, Rebecca Pereira, and Sean Stafford. "Conducting Quantum Machine Learning Through The Lens of Solving Neural Differential Equations On A Theoretical Fault Tolerant Quantum Computer: Calibration and Benchmarking." (2024).