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Table 1 The mean relative error computed in all the experiments

From: A DeepONet multi-fidelity approach for residual learning in reduced order modeling

  

POD

DeepONet

MFDeepONet

  

10k

20k

50k

10k

20k

50k

Testcase #1

POD rank = 0.99

0.324

0.270

0.265

0.217

0.293

0.247

0.308

POD rank = 0.999

0.203

0.270

0.265

0.217

0.196

0.193

0.127

POD rank = 0.9999

0.098

0.270

0.265

0.217

0.093

0.104

0.178

Testcase #2

POD rank = 0.99

0.105

0.116

0.068

0.072

0.030

0.022

0.030

POD rank = 0.999

0.033

0.116

0.068

0.072

0.025

0.023

0.009

POD rank = 0.9999

0.011

0.116

0.068

0.072

0.011

0.009

0.009

 

Gappy POD

DeepONet

MFDeepONet

 

10k

20k

50k

10k

20k

50k

Testcase #1

0.260

0.419

0.380

0.278

0.218

0.217

0.197

Testcase #2

0.135

0.035

0.033

0.017

0.029

0.010

0.009

  1. In bold the best results for each row