Advancements in Numerical Methods for Partial Differential Equations

The field of numerical methods for partial differential equations is witnessing significant developments, with a focus on improving the accuracy, efficiency, and robustness of numerical schemes. Recent research has concentrated on designing innovative finite element methods, gradient flow models, and partitioned strategies to tackle complex problems in areas such as optimal control, cardiac electrophysiology, and uncertainty quantification. Noteworthy papers include: the proposal of a monotone finite element method for elliptic distributed optimal control problems, which ensures the preservation of desired-state bounds and stability of the numerical optimal state. the development of a novel bidomain partitioned strategy for simulating ventricular fibrillation dynamics, which achieves high accuracy and efficiency compared to standard decoupled strategies.

Sources

A monotone finite element method for an elliptic distributed optimal control problem with a convection-dominated state equation

A gradient flow model for the Gross--Pitaevskii problem: Mathematical and numerical analysis

Numerical solution of elliptic distributed optimal control problems with boundary value tracking

Novel bidomain partitioned strategies for the simulation of ventricular fibrillation dynamics

An introduction to the a posteriori error analysis of parabolic partial differential equations

Convergence analysis for a tree-based nonlinear reduced basis method

On the optimality of dimension truncation error rates for a class of parametric partial differential equations

Sufficient conditions for QMC analysis of finite elements for parametric differential equations

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