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Record link: 
http://hdl.handle.net/20.500.12708/30597
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Title: 
Transforming the Method of Least Squares to the Dataflow Paradigm
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Citation: 
Murturi, I. (2021). Transforming the Method of Least Squares to the Dataflow Paradigm. In V. Milutinovic & M. Kotlar (Eds.), Advances in Systems Analysis, Software Engineering, and High Performance Computing (pp. 114–121). IGI Global. https://doi.org/10.4018/978-1-7998-7156-9.ch008
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Publisher DOI: 
10.4018/978-1-7998-7156-9.ch008
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Publication Type: 
Book Contribution - Edited Volume Contribution
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Authors: 
Murturi, Ilir 
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Organisational Unit: 
E194-02 - Forschungsbereich Distributed Systems 
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Published in: 
Advances in Systems Analysis, Software Engineering, and High Performance Computing 
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Date (published): 
2021
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Number of Pages: 
8
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Peer reviewed: 
Yes
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Abstract: 
In mathematical statistics, an interesting and common problem is finding the best linear or non-linear regression equations that express the relationship between variables or data. The method of least squares (MLS) represents one of the oldest procedures among multiple techniques to determine the best fit line to the given data through simple calculus and linear algebra. Notably, numerous approaches have been proposed to compute the least-squares. However, the proposed methods are based on the control flow paradigm. As a result, this chapter presents the MLS transformation from control flow logic to the dataflow paradigm. Moreover, this chapter shows each step of the transformation, and the final kernel code is presented.
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Research Areas: 
Information Systems Engineering: 100%
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Science Branch: 
Informatik
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Appears in Collections:
Book Contribution

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