Formulation of L1 Norm Minimization in Gauss-Markov Models-Reference-Cited by-同舟云学术

Formulation of L1 Norm Minimization in Gauss-Markov Models

Published:2003-02 Issue:1 Volume:129 Page:37-43
ISSN:0733-9453
Container-title:Journal of Surveying Engineering
language:en
Short-container-title:J. Surv. Eng.

Author:

Amiri-Simkooei AliReza¹

Affiliation:

1. Dept. of Surveying Engineering, Faculty of Engineering, The Univ. of Isfahan, 81744 Isfahan, Iran; also, Dept. of Mathematical Geodesy and Positioning, Faculty of Civil Engineering and Geosciences, TU Delft, Thijsseweg 11, 2629 JA, Delft, The Netherlands.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290733-9453%282003%29129%3A1%2837%29

Reference6 articles.

1. Bazaraa M. S. Jarvis J. J. and Sherali H. D. (1990). Linear programming and network flows 2nd Ed. Wiley New York.

2. Dantzig G. B. (1963). Linear programming and extensions Princeton University Press Princeton N.J.

3. Department of Surveying Engineering (1993). “Micro-geodesy network for educational purposes in Baghbahadoran.” The Univ. of Isfahan 81744 Isfahan Iran.

4. Koch K. R. (1999). Parameter estimation and hypothesis testing in linear models Springer Berlin.

5. Basic Concepts ofL1Norm Minimization for Surveying Applications

Cited by 45 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. L1-norm optimisation of rank deficient GNSS networks by an improved Grey Wolf method;Survey Review;2024-03-12

2. Absolute M split estimation as an alternative for robust M-estimation;Advances in Geodesy and Geoinformation;2023-11-06

3. A Coupled RTK/INS Positioning Method Based on Robust Estimation;Lecture Notes in Electrical Engineering;2023-11-04

4. Optimal Minimum L1-Norm Criteria for Outlier Identification in GNSS and Leveling Networks;Journal of Surveying Engineering;2023-11

5. A direct approach for L1-norm minimisation;Survey Review;2023-10-31