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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 Matrix Chernoff bound ： ウィキペディア英語版 Matrix Chernoff bound For certain applications in linear algebra, it is useful to know properties of the probability distribution of the largest eigenvalue of a finite sum of random matrices. Suppose $\backslash$ is a finite sequence of random matrices. Analogous to the well-known Chernoff bound for sums of scalars, a bound on the following is sought for a given parameter ''t'': :$\backslash Pr\; \backslash left\; \backslash$ The following theorems answer this general question under various assumptions; these assumptions are named below by analogy to their classical, scalar counterparts. All of these theorems can be found in , as the specific application of a general result which is derived below. A summary of related works is given. ==Matrix Gaussian and Rademacher series== 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「Matrix Chernoff bound」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.