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2,461 to 2,470 of 3,056 Results
PeriodIdentities.gp
Sep 4, 2023 - Replication Data for: Modularity of special motives of rank four associated with Calabi-Yau threefolds
Unknown - 5.6 KB - MD5: 317a8a1f5e47fd4e4fecb14cfde1bdac
PeriodIdentities.gp
Sep 4, 2023 - Replication Data for: Modularity of special motives of rank four associated with Calabi-Yau threefolds
Unknown - 3.7 KB - MD5: ff8cfcde541b8ff2b79b186081695b42
PeriodIdentities.gp
Sep 4, 2023 - Replication Data for: Modularity of special motives of rank four associated with Calabi-Yau threefolds
Unknown - 2.6 KB - MD5: ac3f545744668eb26c3e904b0195c485
PeriodIdentityLevel1.gp
Sep 4, 2023 - Replication Data for: Modularity of special motives of rank four associated with Calabi-Yau threefolds
Unknown - 1.8 KB - MD5: 25cd9c50b02656734ad16c386bbb2dfb
PointCounting.gp
Sep 4, 2023 - Replication Data for: Modularity of special motives of rank four associated with Calabi-Yau threefolds
Unknown - 3.1 KB - MD5: 8ed6b0eccb5fff024a40ce8ab84782d6
PointCounting.gp
Sep 4, 2023 - Replication Data for: Modularity of special motives of rank four associated with Calabi-Yau threefolds
Unknown - 3.5 KB - MD5: b86999885cf42fe35f8da76d411040f3
PointCounting.gp
Sep 4, 2023 - Replication Data for: Modularity of special motives of rank four associated with Calabi-Yau threefolds
Unknown - 6.8 KB - MD5: 66a775bf232970941f55471ba01df3da
PointCounting.gp
Sep 4, 2023 - Replication Data for: Modularity of special motives of rank four associated with Calabi-Yau threefolds
Unknown - 2.2 KB - MD5: 08d51ff66eb6a1220be1bae93aaed59e
Readme.txt
Sep 4, 2023 - Replication Data for: Modularity of special motives of rank four associated with Calabi-Yau threefolds
Plain Text - 4.1 KB - MD5: 929cef5c3b98ffcbb596c389a9870a9f
Implementation of An Elastic Basis for Spectral Shape Correspondence
Jun 30, 2023 - Bonn Mathematics
Hartwig, Florine; Sassen, Josua; Azencot, Omri; Rumpf, Martin; Ben Chen, Mirela, 2023, "Implementation of An Elastic Basis for Spectral Shape Correspondence", https://doi.org/10.60507/FK2/DXOEHJ, bonndata, V1
An implementation of a spectral non-isometric correspondence method that aligns extrinsic features using a functional map approach. To this end, we propose and use a novel crease-aware spectral basis derived from the Hessian of an elastic thin shell energy.
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