The field of numerical methods for partial differential equations is rapidly advancing, with a focus on developing more efficient and accurate methods for solving complex problems. One of the key areas of research is the development of new preconditioning techniques for saddle-point systems, which are commonly encountered in fluid dynamics and other fields. Researchers are also exploring new methods for solving eigenvalue problems, including the use of inexact iteration methods and locally optimal block preconditioned conjugate gradient methods. Additionally, there is a growing interest in the development of new methods for solving problems on non-smooth domains, including the use of polar parameterizations and graded mesh refinement. Notable papers in this area include the development of optimal transfer operators for algebraic two-level methods and the creation of a framework for analyzing discrete exterior calculus approximations to Hodge-Laplacian problems. Particularly noteworthy papers include:
- Optimal transfer operators in algebraic two-level methods for nonsymmetric and indefinite problems, which significantly strengthens previous results and provides a new theory for optimal transfer operators.
- A Framework for Analysis of DEC Approximations to Hodge-Laplacian Problems using Generalized Whitney Forms, which provides a new framework for interpreting discrete exterior calculus numerical schemes and rigorously proves convergence with rates for the Hodge-Laplacian problem.