Deep backward multistep high-order regression method proposed for high-dimensional parabolic PDEs
Researchers introduce a deep backward multistep high-order regression (MHDBR) method for solving semilinear parabolic partial differential equations via their backward formulations, targeting high-dimensional nonlinear settings.
Read the full story at arXiv stat.ML ↗
Timeline · 1 report
- 2026-11-10 05:00 · arXiv stat.ML
Deep backward multistep high-order regression methods for high dimensional nonlinear parabolic partial differential equations