# drop0: Drop Non-Structural Zeros from a Sparse Matrix In Matrix: Sparse and Dense Matrix Classes and Methods

 drop0 R Documentation

## Drop Non-Structural Zeros from a Sparse Matrix

### Description

Deletes “non-structural” zeros (i.e., zeros stored explicitly, in memory) from a sparse matrix and returns the result.

### Usage

drop0(x, tol = 0, is.Csparse = NA, give.Csparse = TRUE)

### Arguments

 x a Matrix, typically inheriting from virtual class sparseMatrix. denseMatrix and traditional vectors and matrices are coerced to CsparseMatrix, with zeros dropped automatically, hence users passing such x should consider as(x, "CsparseMatrix") instead, notably in the tol = 0 case. tol a non-negative number. If x is numeric, then entries less than or equal to tol in absolute value are deleted. is.Csparse a logical used only if give.Csparse is TRUE, indicating if x already inherits from virtual class CsparseMatrix, in which case coercion is not attempted, permitting some (typically small) speed-up. give.Csparse a logical indicating if the result must inherit from virtual class CsparseMatrix. If FALSE and x inherits from RsparseMatrix, TsparseMatrix, or indMatrix, then the result preserves the class of x. The default value is TRUE only for backwards compatibility.

### Value

A sparseMatrix, the result of deleting non-structural zeros from x, possibly after coercion.

### Note

drop0 is sometimes called in conjunction with zapsmall, e.g., when dealing with sparse matrix products; see the example.

Function sparseMatrix, for constructing objects inheriting from virtual class sparseMatrix; nnzero.

### Examples

(m <- sparseMatrix(i = 1:8, j = 2:9, x = c(0:2, 3:-1),
dims = c(10L, 20L)))
drop0(m)

## A larger example:
t5 <- new("dtCMatrix", Dim = c(5L, 5L), uplo = "L",
x = c(10, 1, 3, 10, 1, 10, 1, 10, 10),
i = c(0L,2L,4L, 1L, 3L,2L,4L, 3L, 4L),
p = c(0L, 3L, 5L, 7:9))
TT <- kronecker(t5, kronecker(kronecker(t5, t5), t5))
IT <- solve(TT)
I. <- TT %*% IT ;  nnzero(I.) # 697 ( == 625 + 72 )
I.0 <- drop0(zapsmall(I.))
## which actually can be more efficiently achieved by
I.. <- drop0(I., tol = 1e-15)
stopifnot(all(I.0 == Diagonal(625)), nnzero(I..) == 625)

Matrix documentation built on Nov. 14, 2023, 5:06 p.m.