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


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.

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