The Significance of Imaginary Points in Linear Least Square Approximation
2014 (English)In: ADVCOMP 2014, The Eighth International Conference on Advanced Engineering Computing and Applications in Sciences, 2014, 71-73 p.Conference paper (Refereed)
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.
complex number; curve fitting; imaginary number; least square method
Probability Theory and Statistics
IdentifiersURN: urn:nbn:se:uu:diva-235741ISBN: 978-1-61208-354-4OAI: oai:DiVA.org:uu-235741DiVA: diva2:761786
The Eighth International Conference on Advanced Engineering Computing and Applications in Sciences, ADVCOMP 2014, Rome, Italy, August 2014