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In mathematical analysis (in particular convex analysis) and optimization, a proper convex function is a convex function ''f'' taking values in the extended real number line such that : for at least one ''x'' and : for every ''x''. That is, a convex function is ''proper'' if its effective domain is nonempty and it never attains . Convex functions that are not proper are called ''improper convex functions''. A ''proper concave function'' is any function ''g'' such that is a proper convex function. == Properties == For every proper convex function ''f'' on Rn there exist some ''b'' in Rn and β in R such that : for every ''x''. The sum of two proper convex functions is not necessarily proper or convex. For instance if the sets and are non-empty convex sets in the vector space ''X'', then the indicator functions and are proper convex functions, but if then is identically equal to . The infimal convolution of two proper convex functions is convex but not necessarily proper convex.〔.〕 抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「proper convex function」の詳細全文を読む スポンサード リンク
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