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dc.contributor.authorLykkegaard, M
dc.contributor.authorDodwell, T
dc.date.accessioned2022-04-28T06:25:45Z
dc.date.issued2022-04-28
dc.date.updated2022-04-27T09:27:21Z
dc.description.abstractThis is the code used for the Lykkegaard & Dodwell (2022) article "Where to Drill Next? A Dual-Weighted Approach to Adaptive Optimal Design of Groundwater Surveys".en_GB
dc.description.sponsorshipEngineering and Physical Sciences Research Council (EPSRC)en_GB
dc.description.sponsorshipAlan Turing Instituteen_GB
dc.identifier.grantnumberEP/L016214/1en_GB
dc.identifier.grantnumber2TAFFP\100007en_GB
dc.identifier.urihttp://hdl.handle.net/10871/129475
dc.identifierORCID: 0000-0002-0932-9668 (Lykkegaard, Mikkel)
dc.language.isoenen_GB
dc.publisherUniversity of Exeteren_GB
dc.rightsGNU General Public Licence 3.0en_GB
dc.titleCode to reproduce results from "Where to Drill Next? A Dual-Weighted Approach to Adaptive Optimal Design of Groundwater Surveys"en_GB
dc.typeSoftwareen_GB
dc.date.available2022-04-28T06:25:45Z
dc.descriptionPython code which sets up a synthetic groundwater flow example, extracts data from 8 random locations and then runs an MCMC sampler to quantify the uncertainty. After completing the initial run, it will choose 8 additional sampling locations based on the "Vanilla" and "Dual-Weighted" criteria described in the paper. The script is set up to work in batches because of memory constraints. Each run of the code will repeat the procedure described above 5 times and save the results in the "results" folder. The batch number (0-5) must be given as a command line argument: "python3 run_batch.py <batch_number>"en_GB
dc.rights.urihttps://choosealicense.com/licenses/gpl-3.0en_GB
rioxxterms.versionNAen_GB
rioxxterms.licenseref.startdate2022-04-28
rioxxterms.typeOtheren_GB
refterms.dateFOA2022-04-28T06:29:46Z


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