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翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Vector optimization ： ウィキペディア英語版 Vector optimization Vector optimization is a subarea of mathematical optimization where optimization problems with a vector-valued objective functions are optimized with respect to a given partial ordering and subject to certain constraints. A multi-objective optimization problem is a special case of a vector optimization problem: The objective space is the finite dimensional Euclidean space partially ordered by the component-wise "less than or equal to" ordering. == Problem formulation == In mathematical terms, a vector optimization problem can be written as: :$C\backslash operatorname\backslash min\_\; f(x)$ where $f:\; X\; \backslash to\; Z$ for a partially ordered vector space $Z$. The partial ordering is induced by a cone $C\; \backslash subseteq\; Z$. $X$ is an arbitrary set and $S\; \backslash subseteq\; X$ is called the feasible set. 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「Vector optimization」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.