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Anzahl der Publikationen: 5
Zeitschriftenartikel
Gonon, Lukas und Schwab, Christoph
(2023):
Deep ReLU neural networks overcome the curse of dimensionality for partial integrodifferential equations.
In: Analysis and Applications, Bd. 21, Nr. 01: S. 1-47
Gonon, Lukas und Schwab, Christoph
(2022):
Deep ReLU neural networks overcome the curse of dimensionality for partial integrodifferential equations.
In: Analysis and Applications, Bd. 21, Nr. 1: S. 1-47
Gonon, Lukas 
ORCID: https://orcid.org/0000-0003-3367-2455 und Schwab, Christoph
(2021):
Deep ReLU network expression rates for option prices in high-dimensional, exponential Lévy models.
In: Finance and Stochastics, Bd. 25: S. 615-657
[PDF, 1MB]
ORCID: https://orcid.org/0000-0003-3367-2455 und Schwab, Christoph
(2021):
Deep ReLU network expression rates for option prices in high-dimensional, exponential Lévy models.
In: Finance and Stochastics, Bd. 25: S. 615-657
[PDF, 1MB]
Rauhut, Holger ORCID: https://orcid.org/0000-0003-4750-5092 und Schwab, Christoph
(2016):
Compressive sensing Petrov-Galerkin approximation of high-dimensional parametric operator equations.
In: Mathematics of Computation, Bd. 86, Nr. 304: S. 661-700
ORCID: https://orcid.org/0000-0003-4750-5092 und Schwab, Christoph
(2016):
Compressive sensing Petrov-Galerkin approximation of high-dimensional parametric operator equations.
In: Mathematics of Computation, Bd. 86, Nr. 304: S. 661-700
Konferenzbeitrag
Bouchot, Jean-Luc; Bykowski, Benjamin; Rauhut, Holger ORCID: https://orcid.org/0000-0003-4750-5092 und Schwab, Christoph
(2015):
Compressed sensing Petrov-Galerkin approximations for parametric PDEs.
2015 International Conference on Sampling Theory and Applications (SampTA), Washington, DC, 25-29 May 2015.
In: 2015 International Conference on Sampling Theory and Applications (SampTA),
IEEE. S. 528-532
ORCID: https://orcid.org/0000-0003-4750-5092 und Schwab, Christoph
(2015):
Compressed sensing Petrov-Galerkin approximations for parametric PDEs.
2015 International Conference on Sampling Theory and Applications (SampTA), Washington, DC, 25-29 May 2015.
In: 2015 International Conference on Sampling Theory and Applications (SampTA),
IEEE. S. 528-532