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Line 314: == Applications == Convex optimization can be 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~~Christensen/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 can be used to model problems in 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>

Convex optimization: Difference between revisions