A new modified Laplace-Fourier method is developed that significantly improves the accuracy of solutions for linear neutral delay differential equations compared to the pure Laplace and original Laplace-Fourier methods.
The authors present a provably energy stable high-order discontinuous Galerkin (DG) method for solving the acoustic wave equation on cut meshes. They pair the DG scheme with state redistribution, a technique to address the small cell problem on cut meshes, and prove that the resulting scheme remains energy stable.
The proposed subdivision scheme can reproduce second-degree polynomials on a variety of non-uniform grids without requiring prior knowledge of the grid specifics.
The paper proves that an adaptive finite element method for the primal problem of elastoplasticity with isotropic and linear kinematic hardening satisfies the axioms of adaptivity, which guarantees optimal convergence of the scheme.
This work presents a generalization of the authors' previous implicit leapfrog scheme to an arbitrary (even) order accurate time discretization method for efficiently solving the system of Maxwell's equations.
This work presents an efficient matrix-free geometric multigrid preconditioner for solving the linear systems arising in the nonlinear solution of quasi-static phase-field fracture problems with local mesh refinement.
The authors propose an adaptive finite element method (AFEM) for efficiently solving an elliptic eigenvalue optimization problem using a phase-field approach. The AFEM incorporates adaptive mesh refinement based on a posteriori error estimators to improve the accuracy and computational efficiency compared to uniform mesh refinement.
Efficiently optimizing parallel Spectral Deferred Corrections is crucial for computational efficiency.
Efficient adaptive time step selection enhances computational efficiency in solving differential equations.
The author presents a residual multi-fidelity computational framework for constructing efficient neural network surrogates using multi-fidelity information.