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Codes and data for the paper "Gaussian Process Regression and Conditional Karhunen-Loève Models for Data Assimilation in Inverse Problems"

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Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
cklemap		cklemap
test		test
.gitignore		.gitignore
README.md		README.md
environment.yaml		environment.yaml

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Source code for the manuscript "Model inversion via conditioned Karhunen-Loève expansions"

How to execute

Tested with an Intel Distribution for Python, conda 4.3.31, python 3.6.8

Simply do

conda env create -f environment.yaml

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Codes and data for the paper "Gaussian Process Regression and Conditional Karhunen-Loève Models for Data Assimilation in Inverse Problems"

machine-learning inverse-problems karhunen-loeve maximum-a-posteriori

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