Singular Value Decomposition & Few Application

Jajimogga Raghavendar; V.Dharmaiah

doi:https://doi.org/10.14445/22315373/IJMTT-V49P517

International Journal of Mathematics Trends and Technology

Research Article | Open Access | Download PDF

Volume 49 | Number 2 | Year 2017 | Article Id. IJMTT-V49P517 | DOI : https://doi.org/10.14445/22315373/IJMTT-V49P517

Singular Value Decomposition & Few Application

Jajimogga Raghavendar, V.Dharmaiah

Citation :

Jajimogga Raghavendar, V.Dharmaiah, "Singular Value Decomposition & Few Application," International Journal of Mathematics Trends and Technology (IJMTT), vol. 49, no. 2, pp. 138-142, 2017. Crossref, https://doi.org/10.14445/22315373/IJMTT-V49P517

Abstract

Singular Value Decomposition (SVD) is a tool for teaching linear algebra geomatrically. In Linear algebra SVD is very usefulin many cases in problem solving. Some of the applications of SVD are,Image processing, Population related problems, Least square approximation in Numerical methods, Dimension reduction, Low rank data’s storage, Education related problems, Data composition. This paper discuss about fewer applications.

Keywords

SVD, Least Square Approximation, Education & Population Related Problems.

References

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