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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/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:
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