R中是否有一个函数产生矩阵的reduced row echelon form
? This参考说没有。你同意吗?
答案 0 :(得分:17)
我没有足够的代表发表评论,但是在接受的答案[edit 2018:不再是接受的答案]中,士兵们给出上面的功能是错误的 - 它没有& #39; t处理RREF解决方案在其主对角线上具有零的矩阵。试试,例如。
M< - 矩阵(C(1,0,1,0,0,2),byrow = TRUE,nrow = 2) RREF(M)
并注意输出不在RREF中。
我认为我有它的工作,但您可能想要自己检查输出:
rref <- function(A, tol=sqrt(.Machine$double.eps),verbose=FALSE,
fractions=FALSE){
## A: coefficient matrix
## tol: tolerance for checking for 0 pivot
## verbose: if TRUE, print intermediate steps
## fractions: try to express nonintegers as rational numbers
## Written by John Fox
# Modified by Geoffrey Brent 2014-12-17 to fix a bug
if (fractions) {
mass <- require(MASS)
if (!mass) stop("fractions=TRUE needs MASS package")
}
if ((!is.matrix(A)) || (!is.numeric(A)))
stop("argument must be a numeric matrix")
n <- nrow(A)
m <- ncol(A)
x.position<-1
y.position<-1
# change loop:
while((x.position<=m) & (y.position<=n)){
col <- A[,x.position]
col[1:n < y.position] <- 0
# find maximum pivot in current column at or below current row
which <- which.max(abs(col))
pivot <- col[which]
if (abs(pivot) <= tol) x.position<-x.position+1 # check for 0 pivot
else{
if (which > y.position) { A[c(y.position,which),]<-A[c(which,y.position),] } # exchange rows
A[y.position,]<-A[y.position,]/pivot # pivot
row <-A[y.position,]
A <- A - outer(A[,x.position],row) # sweep
A[y.position,]<-row # restore current row
if (verbose)
if (fractions) print(fractions(A))
else print(round(A,round(abs(log(tol,10)))))
x.position<-x.position+1
y.position<-y.position+1
}
}
for (i in 1:n)
if (max(abs(A[i,1:m])) <= tol)
A[c(i,n),] <- A[c(n,i),] # 0 rows to bottom
if (fractions) fractions (A)
else round(A, round(abs(log(tol,10))))
}
答案 1 :(得分:8)
pracma包还包含一个实现。请参阅pracma :: rref。
答案 2 :(得分:6)
最近还为教学线性代数(matlib)开发了一个软件包,它既可以计算矩阵的梯形形式,也可以显示在此过程中使用的步骤。
reference docs的示例:
library('matlib')
A <- matrix(c(2, 1, -1,-3, -1, 2,-2, 1, 2), 3, 3, byrow=TRUE)
b <- c(8, -11, -3)
echelon(A, b, verbose=TRUE, fractions=TRUE)
Initial matrix:
[,1] [,2] [,3] [,4]
[1,] 2 1 -1 8
[2,] -3 -1 2 -11
[3,] -2 1 2 -3
row: 1
exchange rows 1 and 2
[,1] [,2] [,3] [,4]
[1,] -3 -1 2 -11
[2,] 2 1 -1 8
[3,] -2 1 2 -3
multiply row 1 by -1/3
[,1] [,2] [,3] [,4]
[1,] 1 1/3 -2/3 11/3
[2,] 2 1 -1 8
[3,] -2 1 2 -3
multiply row 1 by 2 and subtract from row 2
[,1] [,2] [,3] [,4]
[1,] 1 1/3 -2/3 11/3
[2,] 0 1/3 1/3 2/3
[3,] -2 1 2 -3
multiply row 1 by 2 and add to row 3
[,1] [,2] [,3] [,4]
[1,] 1 1/3 -2/3 11/3
[2,] 0 1/3 1/3 2/3
[3,] 0 5/3 2/3 13/3
row: 2
exchange rows 2 and 3
[,1] [,2] [,3] [,4]
[1,] 1 1/3 -2/3 11/3
[2,] 0 5/3 2/3 13/3
[3,] 0 1/3 1/3 2/3
multiply row 2 by 3/5
[,1] [,2] [,3] [,4]
[1,] 1 1/3 -2/3 11/3
[2,] 0 1 2/5 13/5
[3,] 0 1/3 1/3 2/3
multiply row 2 by 1/3 and subtract from row 1
[,1] [,2] [,3] [,4]
[1,] 1 0 -4/5 14/5
[2,] 0 1 2/5 13/5
[3,] 0 1/3 1/3 2/3
multiply row 2 by 1/3 and subtract from row 3
[,1] [,2] [,3] [,4]
[1,] 1 0 -4/5 14/5
[2,] 0 1 2/5 13/5
[3,] 0 0 1/5 -1/5
row: 3
multiply row 3 by 5
[,1] [,2] [,3] [,4]
[1,] 1 0 -4/5 14/5
[2,] 0 1 2/5 13/5
[3,] 0 0 1 -1
multiply row 3 by 4/5 and add to row 1
[,1] [,2] [,3] [,4]
[1,] 1 0 0 2
[2,] 0 1 2/5 13/5
[3,] 0 0 1 -1
multiply row 3 by 2/5 and subtract from row 2
[,1] [,2] [,3] [,4]
[1,] 1 0 0 2
[2,] 0 1 0 3
[3,] 0 0 1 -1
答案 3 :(得分:4)
看起来没有内置但我在this页面上找到了这个rref功能。
rref <- function(A, tol=sqrt(.Machine$double.eps),verbose=FALSE,
fractions=FALSE){
## A: coefficient matrix
## tol: tolerance for checking for 0 pivot
## verbose: if TRUE, print intermediate steps
## fractions: try to express nonintegers as rational numbers
## Written by John Fox
if (fractions) {
mass <- require(MASS)
if (!mass) stop("fractions=TRUE needs MASS package")
}
if ((!is.matrix(A)) || (!is.numeric(A)))
stop("argument must be a numeric matrix")
n <- nrow(A)
m <- ncol(A)
for (i in 1:min(c(m, n))){
col <- A[,i]
col[1:n < i] <- 0
# find maximum pivot in current column at or below current row
which <- which.max(abs(col))
pivot <- A[which, i]
if (abs(pivot) <= tol) next # check for 0 pivot
if (which > i) A[c(i, which),] <- A[c(which, i),] # exchange rows
A[i,] <- A[i,]/pivot # pivot
row <- A[i,]
A <- A - outer(A[,i], row) # sweep
A[i,] <- row # restore current row
if (verbose)
if (fractions) print(fractions(A))
else print(round(A,round(abs(log(tol,10)))))
}
for (i in 1:n)
if (max(abs(A[i,1:m])) <= tol)
A[c(i,n),] <- A[c(n,i),] # 0 rows to bottom
if (fractions) fractions (A)
else round(A, round(abs(log(tol,10))))
}