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Publication Year: 2022

91 to 100 of 5,569 Results

ns_incom_inhom_2d_512-271.h5 Apr 18, 2023 - PDEBench Datasets Hierarchical Data Format - 9.3 GB - MD5: 907d7cd2c84312f52f94b27197128d00
ns_incom_inhom_2d_512-272.h5 Apr 18, 2023 - PDEBench Datasets Hierarchical Data Format - 9.3 GB - MD5: 7d1dc19e1b08c09d86bed9a0c7448ceb
ns_incom_inhom_2d_512-273.h5 Apr 18, 2023 - PDEBench Datasets Hierarchical Data Format - 9.2 GB - MD5: e5e51712cc8921fcc4e89b9fe4690c7f
ns_incom_inhom_2d_512-274.h5 Apr 18, 2023 - PDEBench Datasets Hierarchical Data Format - 9.3 GB - MD5: 5a3ea4a7cdeade672038ffdbf3a7886a
ns_incom_inhom_2d_512-49.h5 Apr 18, 2023 - PDEBench Datasets Hierarchical Data Format - 9.2 GB - MD5: 2235dd8e60d0d43b49aba99819ddb8d3
ns_incom_inhom_2d_512-4.h5 Apr 18, 2023 - PDEBench Datasets Hierarchical Data Format - 9.2 GB - MD5: 306a56ac14ea5686921cbb3f09c7dcb6
Interface Preserving Moving Mesh (Code) Mar 8, 2023 - Projects without PN Affiliation Alkämper, Maria; Magiera, Jim M., 2022, "Interface Preserving Moving Mesh (Code)", https://doi.org/10.18419/DARUS-1671, DaRUS, V2 Open source implementation in C++ for an interface preserving moving mesh in 2d and 3d using CGAL Delaunay triangulations. The time-dependent computational mesh allows for large point deformations while preserving a lower dimensional interface surface. See README.md for more information.
interface_preserving_moving_mesh.tar.xz Mar 8, 2023 - Interface Preserving Moving Mesh (Code) XZ Archive - 74.2 KB - MD5: c4c9ae40a97967b2b210464f38171961 Code
README.md Mar 8, 2023 - Interface Preserving Moving Mesh (Code) Markdown Text - 4.9 KB - MD5: 7011d66a16a0c94f159deae80406e287 Documentation
Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters" Mar 6, 2023 - SFB-TRR 161 A03 "Quantification of Visual Analytics Transformations and Mappings" Pomerenke, David; Dennig, Frederik L.; Keim, Daniel; Fuchs, Johannes; Blumenschein, Michael, 2022, "Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters"", https://doi.org/10.18419/DARUS-3060, DaRUS, V2, UNF:6:UBKuKSiQ9Yl4rH7r00rY3g== [fileUNF] This is the replication data for our publication "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters." It contains the datasets and the code used to render optimized Parallel Coordinate Plots. We used the following 36 datasets for our experiments, which we describe on a per-file basis. All datasets are...

ns_incom_inhom_2d_512-271.h5