SimTech EXC 2075 Project Network 5 "On-the-fly model modification, error control, and simulation adaptivity"
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std.txt
Feb 15, 2023 - Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator
Plain Text - 20.8 KB - MD5: a1d43702326704c931d887c98ac84f7e
twostep.py
Feb 15, 2023 - Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator
Python Source Code - 8.5 KB - MD5: f109de5ac86bbc055a60d39ac86dc8cc
utils.py
Feb 15, 2023 - Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator
Python Source Code - 5.6 KB - MD5: b18e2e964207c1c5631790e41f5d2bb9
wavetools.py
Feb 15, 2023 - Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator
Python Source Code - 8.9 KB - MD5: ed55405b58aef65d2662255ddd8d9cc4
freundlich.rar
Nov 2, 2022 - Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network
RAR Archive - 4.9 MB - MD5: 2bbf50daf95d7202805cae40478ab4f6
Dissolved and total contaminant concentration data generated with the Freundlich sorption isotherm.
langmuir.rar
Nov 2, 2022 - Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network
RAR Archive - 4.6 MB - MD5: 13fc5f6002a31acb194132b43364068d
Dissolved and total contaminant concentration data generated with the Langmuir sorption isotherm.
linear.rar
Nov 2, 2022 - Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network
RAR Archive - 4.9 MB - MD5: d3d4f64769bbcc9f269ae8f7da229e86
Dissolved and total contaminant concentration data generated with the linear sorption isotherm.
add_evaluations_realData.m
Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence
Plain Text - 4.1 KB - MD5: 6fee5b73c68cdf41aa2e07b588b49d08
add_evaluations_similarTe.m
Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence
Plain Text - 5.2 KB - MD5: 688ac03745705e5ef1fbefd492d7fcb2
add_evaluations_unknownTe.m
Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence
Plain Text - 5.2 KB - MD5: 6bea3e2e59fec4bb0a0092e48a5068a8
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