Unified Least-Squares Formulation of a Linear Model with Hard Constraints-Reference-Cited by-同舟云学术

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Unified Least-Squares Formulation of a Linear Model with Hard Constraints

Published:2019-11 Issue:4 Volume:145 Page:04019012
ISSN:0733-9453
Container-title:Journal of Surveying Engineering
language:en
Short-container-title:J. Surv. Eng.

Author:

Amiri-Simkooei A. R.¹^ORCID

Affiliation:

1. Professor, Dept. of Geomatics Engineering, Faculty of Civil Engineering and Transportation, Univ. of Isfahan, Hezar-Jarib Ave., 81746-73441, Isfahan, Iran; Researcher, Acoustics Group, Faculty of Aerospace Engineering, Delft Univ. of Technology, PO Box 5058, 2600 GB, Delft, Netherlands. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29SU.1943-5428.0000290

Reference32 articles.

1. Amiri-Simkooei A. R. 2007. “Least-squares variance component estimation: Theory and GPS applications.” Ph.D. thesis Dept. of Mathematical Geodesy and Positioning Delft Univ. of Technology.

2. Non-negative least-squares variance component estimation with application to GPS time series

3. Weighted Total Least Squares with Singular Covariance Matrices Subject to Weighted and Hard Constraints

4. Parameter estimation in 3D affine and similarity transformation: implementation of variance component estimation

5. Weighted Total Least Squares with Constraints: Alternative Derivation without Using Lagrange Multipliers

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