The field of numerical methods for partial differential equations is witnessing significant advancements, driven by the need for more accurate, efficient, and robust solutions to complex problems. A key direction in this area is the development of innovative discretization techniques, such as the application of weak Galerkin methods to non-convex polytopal meshes and the use of smoothed finite element methods for electro-mechanically coupled problems. Another important trend is the improvement of existing methods, including the enhancement of finite difference methods for nonlinear convection-diffusion equations and the development of more efficient preconditioners for high-order schemes arising from multi-dimensional Riesz space fractional diffusion equations. Furthermore, researchers are exploring new approaches to solve specific types of equations, such as the Helmholtz equation, using algorithms like the Multi-Frequency WaveHoltz method. Noteworthy papers in this regard include the proposal of a non-iterative domain decomposition time integrator for linear wave equations and the development of an optimal preconditioner for high-order schemes arising from multi-dimensional Riesz space fractional diffusion equations with variable coefficients. Overall, these advancements are expected to have a significant impact on various fields, including physics, engineering, and biomedical research, by enabling more accurate simulations and predictions.
Advancements in Numerical Methods for Partial Differential Equations
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A conservative invariant-domain preserving projection technique for hyperbolic systems under adaptive mesh refinement
An inherent regularization approach to parameter-free preconditioning for nearly incompressible linear poroelasticity and elasticity
Modelling and simulation of electro-mechanically coupled dielectric elastomers and myocardial tissue using smoothed finite element methods
$hp$-adaptive finite element simulation of a static anti-plane shear crack in a nonlinear strain-limiting elastic solid