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The Significance of Imaginary Points in Linear Least Square Approximation
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Arts, Department of Game Design.
2014 (English)In: ADVCOMP 2014, The Eighth International Conference on Advanced Engineering Computing and Applications in Sciences, 2014, 71-73 p.Conference paper, Published paper (Refereed)
Abstract [en]

The linear least square method constitutes one of the most useful statistical methods in mathematics. This paper shows that in this method, real, versus imaginary points may act as minimizers, versus maximizers of the error. The use of imaginary points provides thereby an additional degree of freedom in the design of methods based on this statistical method.

Place, publisher, year, edition, pages
2014. 71-73 p.
Keyword [en]
complex number; curve fitting; imaginary number; least square method
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:uu:diva-235741ISBN: 978-1-61208-354-4 (print)OAI: oai:DiVA.org:uu-235741DiVA: diva2:761786
Conference
The Eighth International Conference on Advanced Engineering Computing and Applications in Sciences, ADVCOMP 2014, Rome, Italy, August 2014
Available from: 2014-11-07 Created: 2014-11-07 Last updated: 2014-11-10

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The Significance of Imaginary Points in Linear Least Square Approximation

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Fridenfalk, Mikael

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