├── Beltrami ├── Beltrami_exact.py ├── Beltrami_flow_train (DE).py ├── Beltrami_flow_train (adaptive loss).py ├── Beltrami_flow_train (adaptive sampling).py ├── Beltrami_flow_train (all improvements).py ├── Beltrami_predict.py ├── Beltrami_train.py ├── MyProblem_train1.py ├── all_var1.csv ├── best_net_no_improved.pth ├── best_net_with_improved(DE).pth ├── best_net_with_improved(adaptive loss).pth ├── best_net_with_improved(adaptive sampling).pth ├── best_net_with_improved(all improvements).pth ├── data_bc.npy ├── data_ic.npy ├── error_no_improved.npy ├── error_with_improved.npy ├── first_sample_point_sobol.npy ├── first_sample_point_sobol.py ├── generate_data_ic_bc.py ├── generate_error.py ├── generate_resample_point(new).py ├── generate_resample_point.pth ├── loss_no.csv ├── loss_with.csv ├── main.py ├── resample_point_t.npy ├── resample_point_x.npy ├── resample_point_y.npy ├── resample_point_z.npy └── result of job 2023-06-14 19h-25m-10s │ ├── Best Objective Value Trace Plot.svg │ ├── Trace Plot.svg │ ├── algorithm info.txt │ ├── optPop │ ├── Chrom.csv │ ├── Encoding.txt │ ├── Field.csv │ ├── FitnV.csv │ ├── ObjV.csv │ └── Phen.csv │ ├── population info.txt │ ├── problem info.txt │ └── result info.txt ├── Kovasznay ├── Kovasznay_flow_exact.py ├── Kovasznay_flow_predict.py ├── Kovasznay_flow_train (DE).py ├── Kovasznay_flow_train (adaptive loss).py ├── Kovasznay_flow_train (adaptive sampling).py ├── Kovasznay_flow_train (all improvements).py ├── Kovasznay_flow_train.py ├── MyProblem_train1.py ├── all_var1.csv ├── best_net_no_improved.pth ├── best_net_with_improved(DE).pth ├── best_net_with_improved(adaptive loss).pth ├── best_net_with_improved(adaptive sampling).pth ├── best_net_with_improved(all improvements).pth ├── comparison.py ├── first_sample_point_sobol.npy ├── first_sample_point_sobol.py ├── generate_resample_point.pth ├── generate_resample_point.py ├── loss_no.csv ├── loss_with.csv ├── main.py ├── resample_point_x.npy ├── resample_point_y.npy └── result of job 2023-06-14 10h-20m-40s │ ├── Best Objective Value Trace Plot.svg │ ├── Trace Plot.svg │ ├── algorithm info.txt │ ├── population info.txt │ ├── problem info.txt │ └── result info.txt ├── LICENSE ├── README.md └── cylinder_wake ├── Interpolation.py ├── MyProblem_train1.py ├── all_var.csv ├── best_net_no_improved.pth ├── best_net_with_improved(DE).pth ├── best_net_with_improved(adaptive loss).pth ├── best_net_with_improved(adaptive resampling).pth ├── best_net_with_improved(all improvements).pth ├── cylinder_wake_exact (no interpolation).py ├── cylinder_wake_exact.py ├── cylinder_wake_predict.py ├── cylinder_wake_train (DE).py ├── cylinder_wake_train (adaptive loss).py ├── cylinder_wake_train (adaptive resampling).py ├── cylinder_wake_train (all improvements).py ├── cylinder_wake_train.py ├── data_bc.npy ├── data_domain.npy ├── data_ic.npy ├── error_no_improved.npy ├── error_with_improved.npy ├── first_sample_point_sobol.npy ├── first_sample_point_sobol.py ├── 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