# rref

From pracma v1.9.9 by HwB
0th

Percentile

##### Reduced Row Echelon Form

Produces the reduced row echelon form of A using Gauss Jordan elimination with partial pivoting.

Keywords
math
##### Usage
rref(A)
A
numeric matrix.
##### Details

A matrix of row-reduced echelon form" has the following characteristics:

1. All zero rows are at the bottom of the matrix

2. The leading entry of each nonzero row after the first occurs to the right of the leading entry of the previous row.

3. The leading entry in any nonzero row is 1.

4. All entries in the column above and below a leading 1 are zero.

Roundoff errors may cause this algorithm to compute a different value for the rank than rank, orth or null.

##### Value

A matrix the same size as m.

##### Note

This serves demonstration purposes only; don't use for large matrices.

##### References

Weisstein, Eric W. Echelon Form." From MathWorld -- A Wolfram Web Resource. http://mathworld.wolfram.com/EchelonForm.html

##### See Also

qr.solve

• rref
##### Examples
A <- matrix(c(1, 2, 3, 1, 3, 2, 3, 2, 1), 3, 3, byrow = TRUE)
rref(A)
#      [,1] [,2] [,3]
# [1,]    1    0    0
# [2,]    0    1    0
# [3,]    0    0    1

A <- matrix(data=c(1, 2, 3, 2, 5, 9, 5, 7, 8,20, 100, 200),
nrow=3, ncol=4, byrow=FALSE)
rref(A)
#   1    0    0  120
#   0    1    0    0
#   0    0    1  -20

# Use rref on a rank-deficient magic square:
A = magic(4)
R = rref(A)
zapsmall(R)
#   1    0    0    1
#   0    1    0    3
#   0    0    1   -3
#   0    0    0    0

Documentation reproduced from package pracma, version 1.9.9, License: GPL (>= 3)

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