A new algorithm for finding the optimal solution of the least absolute value estimation problem

Authors

Gustav S. Christensen, Simon Fraser University
Mehrdad Saif, Simon Fraser University
Soliman A. Soliman, Sultan Qaboos University

Document Type

Conference Proceeding

Publication Date

12-1-2007

Publication Title

Canadian Journal of Electrical and Computer Engineering

Volume

32

Issue

1

First Page

5

Keywords

Absolute value estimation, Contraction mapping, State estimation

Last Page

8

Abstract

In this paper an algorithm is developed which uses contraction mapping to determine the optimal solution of the least absolute value (LAV) static estimation problem. It is noted that the new algorithm is computationally simpler than other methods currently available for this purpose. Minimal computational effort is required to obtain the LAV estimates.

DOI

10.1109/CJECE.2007.364327

ISSN

08408688

Recommended Citation

Christensen, Gustav S.; Saif, Mehrdad; and Soliman, Soliman A.. (2007). A new algorithm for finding the optimal solution of the least absolute value estimation problem. Canadian Journal of Electrical and Computer Engineering, 32 (1), 5-8.
https://scholar.uwindsor.ca/electricalengpub/378