dc.contributor.author
Dalfó, Cristina
dc.contributor.author
Fiol Mora, Miguel Ángel
dc.date.accessioned
2024-12-05T22:32:46Z
dc.date.available
2024-12-05T22:32:46Z
dc.date.issued
2019-06-19T10:44:37Z
dc.date.issued
2021-05-29T22:25:56Z
dc.date.issued
2019-06-19T10:44:37Z
dc.identifier
https://doi.org/10.1016/j.dam.2019.04.009
dc.identifier
http://hdl.handle.net/10459.1/66466
dc.identifier.uri
http://hdl.handle.net/10459.1/66466
dc.description.abstract
We present a new matrix-based approach to detect and correct gross errors in GPS geodetic control networks. The study is carried out by introducing a new matrix, whose entries are powers of a (real or complex) variable, which fully represents the network.
dc.description.abstract
This research have been partially supported by the Catalan Research Council, AGAUR, under project 2017SGR1087. The first author has also received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sk lodowska-Curie grant agreement No 734922.
dc.format
application/pdf
dc.relation
Versió postprint del document publicat a https://doi.org/10.1016/j.dam.2019.04.009
dc.relation
Discrete Applied Mathematics, 2019, vol. 269, p. 193-199
dc.relation
info:eu-repo/grantAgreement/EC/H2020/734922/EU/CONNECT
dc.rights
cc-by-nc-nd (c) Elsevier, 2019
dc.rights
info:eu-repo/semantics/openAccess
dc.rights
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject
GPS control network
dc.subject
Weighted digraph
dc.subject
Polynomial adjacency matrix
dc.title
A new approach to gross error detection for GPS networks
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/acceptedVersion
