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Karl Glasner

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2020 – today

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2024
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  - journals/corr/abs-2406-06707
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Teddy Meissner, Karl Glasner:
Discovery of differential equations using sparse state and parameter regression. CoRR abs/2406.06707 (2024)
2023
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Karl Glasner:
Data-driven learning of differential equations: combining data and model uncertainty. Comput. Appl. Math. 42(1) (2023)
2021
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Karl Glasner:
Optimization algorithms for parameter identification in parabolic partial differential equations. Comput. Appl. Math. 40(4) (2021)

2010 – 2019

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2019
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Karl Glasner:
Evolution and Competition of Block Copolymer Nanoparticles. SIAM J. Appl. Math. 79(1): 28-54 (2019)
2017
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Karl Glasner:
Multilayered Equilibria in a Density Functional Model of Copolymer-solvent Mixtures. SIAM J. Math. Anal. 49(2): 1593-1620 (2017)
2016
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Karl Glasner, Saulo Orizaga:
Improving the accuracy of convexity splitting methods for gradient flow equations. J. Comput. Phys. 315: 52-64 (2016)
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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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