International Journal of Mathematics Trends and Technology
Volume 37 | Number 3 | Year 2016 | Article Id. IJMTT-V37P526 | DOI : https://doi.org/10.14445/22315373/IJMTT-V37P526
C. P. E. Agbachi, "Optimisation of Least Squares Algorithm: A Study of Frame Based Programming Techniques in Horizontal Networks," International Journal of Mathematics Trends and Technology (IJMTT), vol. 37, no. 3, pp. 190-198, 2016. Crossref, https://doi.org/10.14445/22315373/IJMTT-V37P526
Least squares estimation, a regression technique based on minimisation of residuals, has been invaluable in bringing the best fit solutions to parameters in science and engineering. However, in dynamic environments such as in Geomatic Engineering, formation of these equations can be very challenging. And these constraints are ported and apparent in most program models, requiring users at ease with the subject matter. This paper reviews the methods of least squares approximation and examines a one-step automated approach, through the instrumentality of frames, object oriented programming.
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