A. Stein, and A. Barth. Monte Carlo and Quasi-Monte Carlo Methods (MCQMC 2018), volume 324 of Springer Proceedings in Mathematics & Statistics, page 445-466. Springer, (2020)
L. Brencher, and A. Barth. Finite Volumes for Complex Applications IX : Methods, Theoretical Aspects, Examples, 323, page 265-273. Cham, Springer, (2020)
C. Beschle, and A. Barth. Software, (2022)Related to: Hägele, David, Schulz, Christoph, Beschle, Cedric, Booth, Hannah, Butt, Miriam, Barth, Andrea, Deussen, Oliver, & Weiskopf, Daniel (2022). Uncertainty visualization: Fundamentals and recent developments. it - Information Technology 64(4-5), 121-132. doi: 10.1515/itit-2022-0033.
L. Mehl, C. Beschle, A. Barth, and A. Bruhn. Dataset, (2022)Related to: L. Mehl, C. Beschle, A. Barth, A. Bruhn: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation. Proc. International Conference on Scale Space and Variational Methods in Computer Vision (SSVM). Lecture Notes in Computer Science, Vol. 10302, 140-152, Springer, 2021. doi: 10.1007/978-3-030-75549-2_12.
A. Barth, and I. Kröker. Theory, Numerics and Applications of Hyperbolic Problems, volume 1 of Springer Proceedings in Mathematics and Statistics, page 125-135. Cham, Springer International Publishing, (2016)
M. Köppel, I. Kröker, and C. Rohde. Finite volumes for complex applications VII : methods and theoretical aspects, 77, page 353-361. Cham, Springer, (2014)
A. Barth, and A. Stein. Stochastics and Partial Differential Equations : Analysis and Computations, 6 (2):
286-334(2018)Preprint: https://arxiv.org/abs/1612.05541.