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251 to 260 of 25,729 Results
schema_profile_pairwise.csv
Sep 10, 2026 - Replication data for: Orchestrating Schema Conversions Across Heterogeneous Schema Languages: A Graph-Based, Black-Box Approach
Tabular Data - 1.6 KB - 12 Variables, 15 Observations - UNF:6:FdDDp7Y46gk5fQfcutW1GQ==
schema_profiles.json
Sep 10, 2026 - Replication data for: Orchestrating Schema Conversions Across Heterogeneous Schema Languages: A Graph-Based, Black-Box Approach
JSON - 27.5 KB - MD5: addcee3e78cc90b3a82a28bf2602b6ef
schema_profiles.csv
Sep 10, 2026 - Replication data for: Orchestrating Schema Conversions Across Heterogeneous Schema Languages: A Graph-Based, Black-Box Approach
Tabular Data - 2.8 KB - 26 Variables, 15 Observations - UNF:6:PMUp6+IQnE+bKUPfuJalMw==
Replication Data for: Symplecticity-preserving prediction of parameter-dependent Hamiltonian dynamics by generalized kernel interpolation
Sep 9, 2026 - Projects without PN Affiliation
Herkert, Robin, 2026, "Replication Data for: Symplecticity-preserving prediction of parameter-dependent Hamiltonian dynamics by generalized kernel interpolation", https://doi.org/10.18419/DARUS-6155, DaRUS, V2
This dataset includes the code and numerical data to reproduce the results from the paper titled "Symplecticity-preserving prediction of parameter-dependent Hamiltonian dynamics by generalized kernel interpolation" (2026). The data were generated by the provided Python scripts from Hamiltonian test systems and are organized according to the corresp...
auxFunctions.py
Sep 9, 2026 - Replication Data for: Symplecticity-preserving prediction of parameter-dependent Hamiltonian dynamics by generalized kernel interpolation
Python Source Code - 1.6 KB - MD5: cebc576cf59b39041dfa80c759309759
auxFunctions.py
Sep 9, 2026 - Replication Data for: Symplecticity-preserving prediction of parameter-dependent Hamiltonian dynamics by generalized kernel interpolation
Python Source Code - 1.2 KB - MD5: 90c626c3ace81090ebde9564fc097c8c
data.py
Sep 9, 2026 - Replication Data for: Symplecticity-preserving prediction of parameter-dependent Hamiltonian dynamics by generalized kernel interpolation
Python Source Code - 10.7 KB - MD5: b920078a94f74b38ad4180c84324c259
data.py
Sep 9, 2026 - Replication Data for: Symplecticity-preserving prediction of parameter-dependent Hamiltonian dynamics by generalized kernel interpolation
Python Source Code - 17.9 KB - MD5: 0abcee37f6e300562eb7c5637f288056
DirectParamPendulumData_dT=0.025
Sep 9, 2026 - Replication Data for: Symplecticity-preserving prediction of parameter-dependent Hamiltonian dynamics by generalized kernel interpolation
Unknown - 5.7 MB - MD5: 576b9b62d5862e0f01124ce4e53dcde3
DirectParamPendulumData_dT=0.05
Sep 9, 2026 - Replication Data for: Symplecticity-preserving prediction of parameter-dependent Hamiltonian dynamics by generalized kernel interpolation
Unknown - 5.7 MB - MD5: fcc9503d000a7601a9135d6f31b1ca3d
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