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Norms of Random Submatrices and Sparse Approximation.

机译:随机子矩阵和稀疏逼近的范数。

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Many problems in the theory of sparse approximation require bounds on operator norms of a random submatrix drawn from a xed matrix. The purpose of this note is to collect estimates for several different norms that are most important in the analysis of `1 minimization algorithms. Several of these bounds have not appeared in detail.

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