Convex optimization: Difference between revisions

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J2kun (talk | contribs)
m Removed phrase about "nearly as straightforward," as it is an opinion not really suitable for Wikipedia. It should probably be replaced with citations to successful applications of convex optimization that would demonstrate its straightforwardness or widespread use (if it is widespread in use, which I doubt).
J2kun (talk | contribs)
m Practical applications: clarify that convex optimization can model problems, because the citations do not prove that it is actually applied to the problems stated. See talk page.
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== Practical applications ==
Convex optimization hascan applicationsbe used to model problems in a wide range of disciplines, such as automatic [[control systems]], estimation and [[signal processing]], communications and networks, electronic [[circuit design]],<ref name=":2" />{{Rp|___location=|page=17}} data analysis and modeling, [[finance]], [[statistics]] ([[optimal design|optimal experimental design]]),<ref>Chritensen/Klarbring, chpt. 4.</ref> and [[structural optimization]], where the approximation concept has proven to be efficient.<ref name=":2" /><ref>Schmit, L.A.; Fleury, C. 1980: ''Structural synthesis by combining approximation concepts and dual methods''. J. Amer. Inst. Aeronaut. Astronaut 18, 1252-1260</ref> Convex optimization has practical applications for the following fields:
 
* [[Portfolio optimization]].<ref name=":0">{{Cite web |last1=Boyd |first1=Stephen |last2=Diamond |first2=Stephen |last3=Zhang |first3=Junzi |last4=Agrawal |first4=Akshay |title=Convex Optimization Applications |url=https://web.stanford.edu/~boyd/papers/pdf/cvx_applications.pdf |url-status=live |archive-url=https://web.archive.org/web/20151001185038/http://web.stanford.edu/~boyd/papers/pdf/cvx_applications.pdf |archive-date=2015-10-01 |access-date=12 Apr 2021}}</ref>