2 papers
math.NA2024
A parallel batch greedy algorithm in reduced basis methods: Convergence rates and numerical results
Niklas Reich, Karsten Urban, Jürgen Vorloeper
The "classical" (weak) greedy algorithm is widely used within model order reduction in order to compute a reduced basis in the offline training phase: An a posteriori error estimat…
math.NA2022
An ultraweak variational method for parameterized linear differential-algebraic equations
Emil Beurer, Moritz Feuerle, Niklas Reich +1
We investigate an ultraweak variational formulation for (parameterized) linear differential-algebraic equations (DAEs) w.r.t. the time variable which yields an optimally stable sys…