Open access
Jul 2026
Hybrid Analytical Numerical and Machine Learning Frameworks for Solving Deterministic and Stochastic Differential Equations with Stability, Convergence, and Uncertainty Quantification
This work introduces a unified hybrid analytical–numerical–ML framework for deterministic and stochastic differential equations that provides a principled pathway toward physically consistent, scalable, and uncertainty-aware solvers for complex dynamical systems.
Suresh Kumar Sahani
· Journal of Intelligent Decis... · 2 citations