Optimisation of Least Squares Algorithm: A Study of Frame Based Programming Techniques in Horizontal Networks
Computational Engineering, Finance, and Science
2018-04-17 v1
Abstract
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 Geomatics 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, with error analysis, through the instrumentality of frames, object oriented programming.
Cite
@article{arxiv.1804.05665,
title = {Optimisation of Least Squares Algorithm: A Study of Frame Based Programming Techniques in Horizontal Networks},
author = {C. P. E. Agbachi},
journal= {arXiv preprint arXiv:1804.05665},
year = {2018}
}
Comments
10 pages