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Interpolative decomposition : ウィキペディア英語版
Interpolative decomposition
In numerical analysis interpolative decomposition (ID) factors a matrix as the product of two matrices, one of which contains selected columns from the original matrix, and the other has a subset of columns that consists the identity matrix and all its values are not larger than 2 in absolute value.
==Definition ==
Let A be an m \times n with rank r . than A can be written as:
: A = A_ X , \,
where:
* J is a subset of r indices from 1 ,\ldots, n
* The m \times r matrix A_ represents the J's columns of A
* X is a r \times n matrix that all its values are less than 2 in magnitude. X has a r \times r identity sub-matrix.
Note that similar decomposition can be done using the rows of A .

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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