Please use this identifier to cite or link to this item: http://dx.doi.org/10.25819/fodasi/8
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSchneider, Naomi-
dc.date.accessioned2022-09-29T11:05:03Z-
dc.date.available2022-09-29T11:05:03Z-
dc.date.issued2022-09-
dc.identifier.citationNaomi Schneider (2022), (L)IPMP source code, v1-2020 (PhD-Thesis) in collection (Learning) Inverse Problem Matching Pursuits, software publication at FoDaSi.en_US
dc.identifier.urihttps://fodasi.e-science-service.uni-siegen.de/handle/fodasi/35-
dc.descriptionSource code of the (L)IPMPs. First published version. Finalized 2020.en_US
dc.description.abstractThis is the first publication of a source code of the (Learning) Inverse Problem Matching Pursuits ((L)IPMPs) by NS. The software was developed during the PhD-Thesis of NS. The main code is written in C/C++ using the GSL and the NLopt library. The visualization codes are written in Matlab. We advise to start with reading the README file which states related publications for further information, explains the general structure of the source code and how to use it.en_US
dc.description.sponsorshipThe authors gratefully acknowledge the financial support by the German Research Foundation (DFG; Deutsche Forschungsgemeinschaft), projects MI 655/7-2 and MI 655/14-1. We are grateful for using the HPC Clusters Horus and Omni maintained by the ZIMT of the University of Siegen for development and numerical experiments.en_US
dc.publisherNaomi Schneider, University of Siegenen_US
dc.rightsNamensnennung - Nicht-kommerziell - Weitergabe unter gleichen Bedingungen 3.0 Deutschland*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/de/*
dc.subjectSoftware LIPMPsen_US
dc.subjectDictionary learningen_US
dc.subjectInverse problemsen_US
dc.subjectGravitational potentialen_US
dc.subjectMatching pursuitsen_US
dc.subjectNumerical modellingen_US
dc.subjectSatellite geodesyen_US
dc.subjectData set for the downward continuationen_US
dc.title(L)IPMP source code, v1-2020 (PhD-Thesis)en_US
dc.typeDataseten_US
dc.typeSoftwareen_US
local.Orcid-ID0000-0003-0929-8707en_US
Appears in Collections:(Learning) Inverse Problem Matching Pursuits

Files in This Item:
File Description SizeFormat 
DLgsl-3-14-2020_publishing.zipZipped directory of source code12.16 MB.zipView/Open


This item is licensed under a Creative Commons License Creative Commons