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ORCIDKarl Glasner
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2020 – today
- 2024
[i1]Teddy Meissner, Karl Glasner:
Discovery of differential equations using sparse state and parameter regression. CoRR abs/2406.06707 (2024)- 2023
- [j6]Karl Glasner
:
Data-driven learning of differential equations: combining data and model uncertainty. Comput. Appl. Math. 42(1) (2023) - 2021
- [j5]Karl Glasner:
Optimization algorithms for parameter identification in parabolic partial differential equations. Comput. Appl. Math. 40(4) (2021)
2010 – 2019
- 2019
- [j4]Karl Glasner:
Evolution and Competition of Block Copolymer Nanoparticles. SIAM J. Appl. Math. 79(1): 28-54 (2019) - 2017
- [j3]Karl Glasner:
Multilayered Equilibria in a Density Functional Model of Copolymer-solvent Mixtures. SIAM J. Math. Anal. 49(2): 1593-1620 (2017) - 2016
- [j2]Karl Glasner, Saulo Orizaga:
Improving the accuracy of convexity splitting methods for gradient flow equations. J. Comput. Phys. 315: 52-64 (2016) - [j1]Karl Glasner, Jordan Allen-Flowers:
Nonlinearity Saturation as a Singular Perturbation of the Nonlinear Schrödinger Equation. SIAM J. Appl. Math. 76(2): 525-550 (2016)
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