hp-Discontinuous Galerkin Finite Element Methods with Least-Squares Stabilization. - Paul Houston; Max Jensen; Endre Süli (J. Sci. Comput., 2002)

On the Discontinuous Galerkin Method for Friedrichs Systems in Graph Spaces. - Max Jensen (LSSC, 2005)

A unifying theory of a posteriori error control for discontinuous Galerkin FEM. - Carsten Carstensen; Thirupathi Gudi; Max Jensen (Numerische Mathematik, 2009)

Discontinuous Galerkin Finite Element Convergence for Incompressible Miscible Displacement Problems of Low Regularity. - Sören Bartels; Max Jensen; Rüdiger Müller (SIAM J. Numer. Anal., 2009)

Implementation of the Continuous-Discontinuous Galerkin Finite Element Method - Andrea Cangiani; John Chapman; Emmanuil H. Georgoulis; Max Jensen (CoRR, 2012)

On Local Super-Penalization of Interior Penalty Discontinuous Galerkin Methods - Andrea Cangiani; John Chapman; Emmanuil H. Georgoulis; Max Jensen (CoRR, 2012)

On the Stability of Continuous-Discontinuous Galerkin Methods for Advection-Diffusion-Reaction Problems. - Andrea Cangiani; John Chapman; Emmanuil H. Georgoulis; Max Jensen (J. Sci. Comput., 2013)

Discontinuous Galerkin Methods for Mass Transfer through Semipermeable Membranes. - Andrea Cangiani; Emmanuil H. Georgoulis; Max Jensen (SIAM J. Numer. Anal., 2013)

On the Convergence of Finite Element Methods for Hamilton-Jacobi-Bellman Equations. - Max Jensen; Iain Smears (SIAM J. Numer. Anal., 2013)

Convergent Semi-Lagrangian Methods for the Monge-Ampère Equation on Unstructured Grids. - Xiaobing Feng 001; Max Jensen (SIAM J. Numer. Anal., 2017)

Dynamic Programming for Finite Ensembles of Nanomagnetic Particles. - Max Jensen; Ananta K. Majee; Andreas Prohl; Christian Schellnegger (J. Sci. Comput., 2019)

Finite Element Methods for Isotropic Isaacs Equations with Viscosity and Strong Dirichlet Boundary Conditions. - Bartosz Jaroszkowski; Max Jensen (CoRR, 2021)

Finite Element Approximation of Hamilton-Jacobi-Bellman equations with nonlinear mixed boundary conditions. - Bartosz Jaroszkowski; Max Jensen (CoRR, 2021)

Deep learning for gradient flows using the Brezis-Ekeland principle. - Laura Carini; Max Jensen; Robert Nürnberg (CoRR, 2022)

Data-dependent density estimation for the Fokker-Planck equation in higher dimensions. - Max Jensen; Fabian Merle; Andreas Prohl (CoRR, 2024)