| Issue |
MATEC Web Conf.
Volume 196, 2018
XXVII R-S-P Seminar, Theoretical Foundation of Civil Engineering (27RSP) (TFoCE 2018)
|
|
|---|---|---|
| Article Number | 03017 | |
| Number of page(s) | 7 | |
| Section | Geodesy and Geotechnics | |
| DOI | https://doi.org/10.1051/matecconf/201819603017 | |
| Published online | 03 September 2018 | |
Combinatorial Algorithm In Linear Model
University of Žilina, Faculty of Civil Engineering, Department of Geodesy,
Univerzitná 8215/1,
010 26 Žilina,
Slovakia
*
Corresponding author: jana.izvoltova@fstav.uniza.sk
Gauss-jacobi combinatorial algorithm is an alternative approach to traditional iterative numerical methods, which is primary oriented for parameter estimation in nonlinear models. The combinatorial algorithm is often exploited for outlier diagnosis in nonlinear models, where the other parameter estimation methods lose their efficiency. The paper describes comparison of both of gauss-jacobi combinatorial and gauss-markov models executed on parameter estimation process of levelling network for the reason to find the efficiency of combinatorial algorithm in simply linear model.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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