Deep random difference method for high-dimensional quasilinear parabolic partial differential equations

Key Points

• The proposed method improves accuracy in solving high-dimensional equations compared to existing methods.
• Performance metrics indicate a significant reduction in computational error achieved through this approach.
• Analysis using high-dimensional modeling focused on parabolic partial differential equations reveals substantial benefits.
• Early indications highlight the need for further validation in diverse mathematical settings.