The field of numerical methods for partial differential equations is rapidly evolving, with a focus on developing innovative and efficient algorithms for solving complex problems. Recent research has emphasized the importance of preserving physical properties, such as stationarity and energy conservation, in numerical discretizations. High-order methods, such as finite element and finite difference methods, have been developed to improve accuracy and efficiency. Additionally, new formulations and techniques, such as virtual element methods and integral equation methods, have been proposed to tackle challenging problems. Notable papers in this area include the development of stationarity preserving nodal Finite Element methods for multi-dimensional linear hyperbolic balance laws and the creation of a high-order, compact, and symmetric Finite Difference Method for the variable Poisson equation on a d-dimensional hypercube. The development of a mass-lumped Virtual Element Method with strong stability-preserving Runge-Kutta time stepping for two-dimensional parabolic problems has also shown promising results. Overall, these advances have the potential to significantly impact the field of numerical analysis and its applications in various areas of science and engineering.
Advances in Numerical Methods for Partial Differential Equations
Sources
Stationarity preserving nodal Finite Element methods for multi-dimensional linear hyperbolic balance laws via a Global Flux quadrature formulation
High order well-balanced and total-energy-conserving local discontinuous Galerkin methods for compressible self-gravitating Euler equations
Convergence of the Immersed Boundary Method for an Elastically Bound Particle Immersed in a 2D Navier-Stokes Fluid Fluid
Mass-Lumped Virtual Element Method with Strong Stability-Preserving Runge-Kutta Time Stepping for Two-Dimensional Parabolic Problems