matrix.csr-class: Class "matrix.csr" - Sparse Matrices in Compressed Sparse Row Format

Description

A class for sparse matrices stored in compressed sparse row ('csr') format.

Arguments

Objects from the Class

Objects can be created by calls of the form new("matrix.csr", ...) and coerced from various other formats. Coercion of integer scalars and vectors into identity matrices and diagonal matrices respectively is accomplished by as(x,"matrix.diag.csr") which generates an object that has all the rights and responsibilties of the "matrix.csr" class.

The default "matrix.csr" object, i.e., new("matrix.csr"), is a scalar (1 by 1) matrix with element 0.

Slots

ra:: Object of class numeric, a real array of nnz elements containing the non-zero elements of A, stored in row order. Thus, if \(i < j\), all elements of row i precede elements from row j. The order of elements within the rows is immaterial.
ja:: Object of class integer, an integer array of nnz elements containing the column indices of the elements stored in ra.
ia:: A class integer array of n+1 elements containing pointers to the beginning of each row in the arrays ra and ja. Thus `ia[i]' indicates the position in the arrays ra and ja where the ith row begins. The last, (n+1)st, element of ia indicates where the n+1 row would start, if it existed.
dimension:: An integer, dimension of the matrix

Methods

%*%: signature(x = "matrix.csr", y = "matrix.csr"): ...
%*%: signature(x = "matrix.csr", y = "matrix"): ...
%*%: signature(x = "matrix.csr", y = "numeric"): ...
%*%: signature(x = "matrix", y = "matrix.csr"): ...
%*%: signature(x = "numeric", y = "matrix.csr"): ...
as.matrix.csc: signature(x = "matrix.csr"): ...
as.matrix.ssc: signature(x = "matrix.csr"): ...
as.matrix.ssr: signature(x = "matrix.csr"): ...
as.matrix.coo: signature(x = "matrix.csr"): ...
as.matrix: signature(x = "matrix.csr"): ...
chol: signature(x = "matrix.csr"): ...
diag: signature(x = "matrix.csr"): ...
diag<-: signature(x = "matrix.csr"): ...
dim: signature(x = "matrix.csr"): ...
image: signature(x = "matrix.csr"): ...
solve: signature(a = "matrix.csr"): ...
t: signature(x = "matrix.csr"): ...
diff: signature(x = "matrix.csr"): ...
diag<-: signature(x = "matrix.diag.csr"): ...

Examples

Run this code

  new("matrix.csr")      # the 1x1 matrix [0]
  new("matrix.diag.csr") # the 'same'

  as(1:5, "matrix.diag.csr") # a sparse version of  diag(1:5)