An overview of sparse convex optimization

Sparse estimation methods are aimed at using or obtaining parsimonious representations of data or models. Optimization is seeking values of a variable that leads to an optimal value of the function that is to be optimized. Suppose we have a system of equations where there more unknowns than the equa...

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Bibliographic Details
Main Author: Modiba, Jacob Mantjitji
Other Authors: Fabris-Rotelli, Inger Nicolette
Language:en
Published: University of Pretoria 2018
Subjects:
Online Access:http://hdl.handle.net/2263/64352
Modiba, JM 2018, An overview of sparse convex optimization, MSc Mini Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/64352>