PN 5

SimTech EXC 2075 Project Network 5 "On-the-fly model modification, error control, and simulation adaptivity"

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771 to 780 of 1,582 Results

ginkgo-Code.tar.gz Jun 5, 2023 - Replication Data for: Efficient Application of Accelerator Cards for the Coupling Library preCICE Gzip Archive - 2.9 MB - MD5: 5797e0f5d1b71715c2e1a6610efe4cac Code taken from https://github.com/ginkgo-project/ginkgo using commit "a195f856e"
Benchmarking-Setup-and-Results.tar.xz Jun 5, 2023 - Replication Data for: Efficient Application of Accelerator Cards for the Coupling Library preCICE XZ Archive - 44.7 KB - MD5: dc0ef6e897e0675cf25954eb0ad4de2a
preCICE-Code.tar.xz Jun 5, 2023 - Replication Data for: Efficient Application of Accelerator Cards for the Coupling Library preCICE XZ Archive - 1.4 MB - MD5: f3aad9eac2c568c6f6672a103a946464
README.md Jun 5, 2023 - Replication Data for: Efficient Application of Accelerator Cards for the Coupling Library preCICE Markdown Text - 5.6 KB - MD5: 39f670a2010544495bb5a3a68ec36478
Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator Feb 15, 2023 Kohlhaas, Rebecca; Kröker, Ilja; Oladyshkin, Sergey; Nowak, Wolfgang, 2023, "Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator", https://doi.org/10.18419/DARUS-2829, DaRUS, V1 This folder contains the code for the aMR-PC toolbox by Ilja Kröker in the version used for the code in GALMAP_code. This toolbox was also used for Kröker et al. 2022 Link to current version of the toolbox here Data This folder contains inputs and simulated outputs of the CO_2 benchmark from here and referenced in Köppel et al. 2019 There are a set...
aMRPCclass.py Feb 15, 2023 - Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator Python Source Code - 5.3 KB - MD5: 9b2991df66556aa9485ee028967c2b86
data_load.py Feb 15, 2023 - Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator Python Source Code - 1.6 KB - MD5: 42a79cc440a6592a635618239dd3b933
datatools.py Feb 15, 2023 - Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator Python Source Code - 33.6 KB - MD5: 080913eb5052de2bb4765b6527dde6bf
error_Nr1_No1_iterations100.png Feb 15, 2023 - Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator PNG Image - 82.1 KB - MD5: cf19c184fd36f1e4ace2ab196a2cfff1
error_Nr1_No1_iterations100.png Feb 15, 2023 - Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator PNG Image - 82.8 KB - MD5: 522a56e04200360b57da2fdf12f529aa

ginkgo-Code.tar.gz

Jun 5, 2023 - Replication Data for: Efficient Application of Accelerator Cards for the Coupling Library preCICE

Gzip Archive - 2.9 MB -

Code taken from https://github.com/ginkgo-project/ginkgo using commit "a195f856e"

Benchmarking-Setup-and-Results.tar.xz

Jun 5, 2023 - Replication Data for: Efficient Application of Accelerator Cards for the Coupling Library preCICE

XZ Archive - 44.7 KB -

preCICE-Code.tar.xz

Jun 5, 2023 - Replication Data for: Efficient Application of Accelerator Cards for the Coupling Library preCICE

XZ Archive - 1.4 MB -

README.md

Jun 5, 2023 - Replication Data for: Efficient Application of Accelerator Cards for the Coupling Library preCICE

Markdown Text - 5.6 KB -

Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator

Feb 15, 2023

Kohlhaas, Rebecca; Kröker, Ilja; Oladyshkin, Sergey; Nowak, Wolfgang, 2023, "Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator", https://doi.org/10.18419/DARUS-2829, DaRUS, V1

This folder contains the code for the aMR-PC toolbox by Ilja Kröker in the version used for the code in GALMAP_code. This toolbox was also used for Kröker et al. 2022 Link to current version of the toolbox here Data This folder contains inputs and simulated outputs of the CO_2 benchmark from here and referenced in Köppel et al. 2019 There are a set...

aMRPCclass.py

Feb 15, 2023 - Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator

Python Source Code - 5.3 KB -

data_load.py

Feb 15, 2023 - Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator

Python Source Code - 1.6 KB -

datatools.py

Feb 15, 2023 - Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator

Python Source Code - 33.6 KB -

error_Nr1_No1_iterations100.png

Feb 15, 2023 - Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator

PNG Image - 82.1 KB -

error_Nr1_No1_iterations100.png

Feb 15, 2023 - Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator

PNG Image - 82.8 KB -

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