deletions | additions       diff --git a/sectionIntroduction_.tex b/sectionIntroduction_.tex  index 85c0afb..223de66 100644  --- a/sectionIntroduction_.tex  +++ b/sectionIntroduction_.tex 
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minimizing the amount of data that needs to be measured to reconstruct  a sparse signal.  The use of compressed sensing and sparse sampling methods for scientific development has been dominated by expermiental applications~\cite{Gross_2010,Zhu_2012,Sanders2012,Doneva_2010}. However compressed sensing is also becoming a tool for theoretical applications \cite{Schaeffer_2013,Almeida_2012} \cite{Schaeffer_2013,Almeida_2012,Nelson_2013}.  In particular, in  previous work, work  we showed have shown  that compressed sensing can also be used to reduce the amount of computation in numerical simulations~\cite{Andrade2012b}. In this article, we extend compressed  sensing to the problem of constructing matrices. {\color{red}(Perhaps