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24,021 to 24,030 of 25,353 Results
Update_rule.m
Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence
Plain Text - 600 B - MD5: 0384179e3f205561736c2f61dff346fd
Update_rule.m
Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence
Plain Text - 1.6 KB - MD5: 3aed09555d0bc42ad27aceea6ea53c3e
Update_rule_trick.m
Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence
Plain Text - 2.0 KB - MD5: d90a98b9e9fc4faa69b37678bdc359c2
Update_rule_trick.m
Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence
Plain Text - 7.7 KB - MD5: 1929b8bc36cd8708a612f9df8f92395e
y0_clean.mat
Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence
MATLAB Data - 3.0 MB - MD5: 681d669f8000d546624b3ee763767e21
1D_CFD_Rand_Eta0.01_Zeta0.01_periodic_Train.hdf5
Oct 14, 2022 - PDEBench Datasets
Hierarchical Data Format - 11.6 GB - MD5: 2fdd00138f1d7abc794fb953021a9f43
Data
1D CFD Train data for random initial condition
1D_CFD_Rand_Eta0.1_Zeta0.1_periodic_Train.hdf5
Oct 14, 2022 - PDEBench Datasets
Hierarchical Data Format - 11.6 GB - MD5: 45655bd77d006ab539c52b7fbcf099b9
Data
1D CFD Train data for random initial condition
2D_CFD_Rand_M0.1_Eta0.01_Zeta0.01_periodic_128_Train.hdf5
Oct 14, 2022 - PDEBench Datasets
Hierarchical Data Format - 51.3 GB - MD5: 5b21dcccaef4d2145ca579a71153c580
Data
2D CFD Train data for random initial condition
2D_CFD_Rand_M0.1_Eta0.1_Zeta0.1_periodic_128_Train.hdf5
Oct 14, 2022 - PDEBench Datasets
Hierarchical Data Format - 51.3 GB - MD5: b2733888745a1d64e36df813e979910b
Data
2D CFD Train data for random initial condition
2D_CFD_Rand_M0.1_Eta1e-08_Zeta1e-08_periodic_512_Train.hdf5
Oct 14, 2022 - PDEBench Datasets
Hierarchical Data Format - 82.0 GB - MD5: ae2552864d0856f58dc74132a2f95d20
Data
2D CFD Train data for random initial condition
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