Optimisation of Least Squares Algorithm: A Study of Frame Based Programming Techniques in Horizontal Networks

	International Journal of Mathematics Trends and Technology (IJMTT)
	© 2016 by IJMTT Journal
	Volume-37 Number-3
	Year of Publication : 2016
	Authors : C. P. E. Agbachi
	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). V37(3):190-198 September 2016. ISSN:2231-5373. www.ijmttjournal.org. Published by Seventh Sense Research Group.

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 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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Keywords
Traverse, Observation Equations, Linear Models, Covariance, Semantic Nets.