Solving Differential Equations with Advanced Algorithmic Techniques
One big change that has happened in differential equations is the use of new computer methods to solve hard problems. The growth of differential equations has been helped by this effect. If these strategies hadn't been used during the process, there would have been no change at all. In this abstract, neural networks and adaptive differential equation solvers are used together. This is one of the new ideas being looked into within the limits of this abstract. You can't use any other way to solve this type of dynamic net ODE. There isn't any other good answer. For people who want to understand how the process works, this outline also includes a description of the method. The goal of this study is to show that the suggested plan is better than other methods by looking at six different ways. The point of this study is to show why the suggested approach is better. The similarity that was just shown is one example of how speed has gotten better.
Authors
- Beechani Balakrishna
- Narendra Kumar (ORCID: https://orcid.org/0000-0002-0295-9579)
- Alok Jain (ORCID: https://orcid.org/0000-0002-7365-7455)
- Taqi Mohammed Khattab Al-Rubaye
- R. S. Sengar
- Krishan Gopal
- Rajireddy Soujanya
Institutions
- Lovely Professional University (IN)
- Galgotias University (IN)
- Iraqi University (IQ)
- Birla Institute of Technology and Science - Hyderabad Campus (IN)
Publication Details
- Published
- 2025-02-13
- DOI
- https://doi.org/10.1109/ic363308.2025.10956908
- Primary Topic
- Matrix Theory and Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.00