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The Significance of Imaginary Points in Linear Least Square Approximation

Authors:
Mikael Fridenfalk

Keywords: complex number; curve fitting; imaginary number; least square method

Abstract:
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.

Pages: 71 to 73

Copyright: Copyright (c) IARIA, 2014

Publication date: August 24, 2014

Published in: conference

ISSN: 2308-4499

ISBN: 978-1-61208-354-4

Location: Rome, Italy

Dates: from August 24, 2014 to August 28, 2014