Advancing Numerical Methods for Complex Models

The recent developments in the research area have significantly advanced numerical methods for complex models, particularly in the context of wave turbulence theory and phase field equations. There is a notable trend towards the development of more robust and adaptive numerical schemes that ensure energy conservation and stability, even in the absence of global Lipschitz continuity. These advancements are crucial for accurately capturing long-term asymptotic behavior and for optimizing energy dissipation rates. Additionally, hybrid methods that combine different numerical techniques are being explored to address the limitations of individual methods, offering a more versatile approach to solving a wide range of partial differential equations. Overall, the field is moving towards more unified and efficient frameworks that enhance the accuracy and adaptability of numerical solutions.

Sources

Numerical schemes for a fully nonlinear coagulation-fragmentation model coming from wave kinetic theory

A class of refined implicit-explicit Runge-Kutta methods with robust time adaptability and unconditional convergence for the Cahn-Hilliard model

A unified framework on the original energy laws of three effective classes of Runge-Kutta methods for phase field crystal type models

Error estimate for the first order energy stable scheme of Q-tensor nematic model

Hybrid GFD-RBF Method for Convection-Diffusion Problems

Built with on top of