Fitting nature's basic functions part I: polynomials and linear least squares

Authors:
Bert W. Rust
Affiliations:
-
Venue:
Computing in Science and Engineering
Year:
2001

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Abstract

The problem of fitting a mathematical model which depends on ann-vector of unknown parameters, to a measured data set isubiquitous in science and engineering. This paper is the firstinstallment of a series that will demonstrate modern techniques forfitting combinations of basic mathematical functions to measuredreal-world data. Fitting a straight line, linear least squares andthe best linear unbiased estimate are discussed.