R语言:MatrixFactorization-class()函数中文帮助文档(中英文对照)

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MatrixFactorization-class(Matrix)
MatrixFactorization-class()所属R语言包：Matrix

                                        Class "MatrixFactorization" of Matrix Factorizations
                                         类的“MatrixFactorization”矩阵分解

                                         译者：生物统计家园网 机器人LoveR

描述----------Description----------

The class "MatrixFactorization" is the virtual (super) class of (potentially) all matrix factorizations of matrices from package Matrix.
类"MatrixFactorization"是虚拟（超）级（潜在的），从包Matrix矩阵的所有矩阵分解。

The class "CholeskyFactorization" is the virtual class of all Cholesky decompositions from Matrix (and trivial sub class of "MatrixFactorization").
类"CholeskyFactorization"是从所有的Cholesky分解的虚拟类Matrix（"MatrixFactorization"和琐碎的子类）。


类的对象----------Objects from the Class----------

A virtual Class: No objects may be
虚拟类：无对象可能


插槽----------Slots----------




Dim: Object of class "integer" - the dimensions of the original matrix - must be an integer vector with exactly two
Dim"integer" - 原始矩阵尺寸 - 必须是一个整数向量正好有两个：对象类


方法----------Methods----------




dim (x) simply returns x@Dim, see above.
朦胧(x)只是简单地返回x@Dim，见上面。




expand signature(x = "MatrixFactorization"): this has not been implemented yet for all matrix factorizations. It should return a list whose components are matrices which when multiplied
扩大signature(x = "MatrixFactorization")：这并没有实现所有矩阵分解。它应该返回一个列表，其成分是当乘以矩阵




show signature(object = "MatrixFactorization"): simple
显示signature(object = "MatrixFactorization")：简单




solve signature(a = "MatrixFactorization", b= .): solve A x = b for x; has not been implemented for all factorizations, but e.g., for CHMfactor,
解决signature(a = "MatrixFactorization", b= .)：解决A x = bx;尚未全部分解落实，但如CHMfactor


参见----------See Also----------

classes inheriting from "MatrixFactorization", such as LU, Cholesky, CHMfactor, and sparseQR.
类继承"MatrixFactorization"，如LU，Cholesky，CHMfactor和sparseQR。


举例----------Examples----------


showClass("MatrixFactorization")
getClass("CholeskyFactorization")

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