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2013 | OriginalPaper | Chapter

2. Least Squares Problems

Authors : Petros Xanthopoulos, Panos M. Pardalos, Theodore B. Trafalis

Published in: Robust Data Mining

Publisher: Springer New York

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Abstract

In this chapter we provide an overview of the original minimum least squares problem and its variations. We present their robust formulations as they have been proposed in the literature so far. We show the analytical solutions for each variation and we conclude the chapter with some numerical techniques for computing them efficiently.

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Metadata
Title
Least Squares Problems
Authors
Petros Xanthopoulos
Panos M. Pardalos
Theodore B. Trafalis
Copyright Year
2013
Publisher
Springer New York
Book
Robust Data Mining

Print ISBN: 978-1-4419-9877-4

Electronic ISBN: 978-1-4419-9878-1

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-1-4419-9878-1_2