Discontinuous Galerkin time discretization methods for parabolic problems with linear constraints. - Igor Voulis; Arnold Reusken (J. Num. Math., 2019)

An adaptive stochastic Galerkin method based on multilevel expansions of random fields: Convergence and optimality. - Markus Bachmayr; Igor Voulis (CoRR, 2021)

Time-Continuous and Time-Discontinuous Space-Time Finite Elements for Advection-Diffusion Problems. - Max von Danwitz; Igor Voulis; Norbert Hosters; Marek Behr (CoRR, 2022)

Replication Data for: Analysis of divergence-preserving unfitted finite element methods for the mixed Poisson problem. - Christoph Lehrenfeld; Igor Voulis; Tim van Beeck (GRO.data, 2023)

A convergent adaptive finite element stochastic Galerkin method based on multilevel expansions of random fields. - Markus Bachmayr; Martin Eigel; Henrik Eisenmann; Igor Voulis (CoRR, 2024)

A unified framework for Trefftz-like discretization methods. - Philip L. Lederer; Christoph Lehrenfeld; Paul Stocker; Igor Voulis (CoRR, 2024)

Analysis of divergence-preserving unfitted finite element methods for the mixed Poisson problem. - Christoph Lehrenfeld; Tim van Beeck; Igor Voulis (Math. Comput., 2024)

Replication Data for: Analysis of divergence-preserving unfitted finite element methods for the mixed Poisson problem. - Christoph Lehrenfeld; Igor Voulis; Tim van Beeck (GRO.data, 2024)

Adaptive stochastic Galerkin finite element methods: Optimality and non-affine coefficients. - Markus Bachmayr; Henrik Eisenmann; Igor Voulis (CoRR, 2025)