Formulation of L1 norm minimization in Gauss-Markov models

被引：56

作者：

Amiri-Simkooei, A ^{[1
]}

机构：

[1] Univ Isfahan, Dept Surveying Engn, Fac Engn, Esfahan 81744, Iran

[2] Delft Univ Technol, Fac Civil Engn & Geosci, Dept Math Geodesy & Positioning, NL-2629 JA Delft, Netherlands

来源：

JOURNAL OF SURVEYING ENGINEERING | 2003年 / 129卷 / 01期

关键词：

tendons; creep rupture; relaxation; mechanics; fiber reinforced polymers; models; linear programming; measurement; geodetic surveys;

D O I：

10.1061/(ASCE)0733-9453(2003)129:1(37)

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

L-1 norm minimization adjustment is a technique to detect outlier observations in geodetic networks. The usual method for implementation of L-1 norm adjustment leads to the solving of a linear programming problem. In this paper, the formulation of the L-1 norm minimization for a rank deficient Gauss-Markov model will be presented. The results have been tested on both linear and non-linear models, which confirm the efficiency of the suggested formulation.

引用

页码：37 / 43

页数：7