Displaying 3 results from an estimated 3 matches for "diagonalise".
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diagonaliser
2001 Sep 06
1
svd and eigen
Hello List,
i need help for eigen and svd functions. I have a non-symmetric
square matrix. These matrix is not positive (some eigenvalues are
negative). I want to diagonalise these matrix. So, I use svd and
eigen and i compare the results. eigen give me the "good" eigenvalues
(positive and negative). I compare with another software and the
results are the same. BUT, when i use svd, the results are completely
different (no sign and not the same value). I th...
2001 Nov 05
1
Problem to transfer Splus functions
...------controle prealable: impression des
contributions (si contav=T)
if(contav) {
conta(x, d, wt)
cat("\n")
tex <- c("On continue ?", "Arret")
ski <- menu(tex)
switch(ski,
,
stop())
}
y <- wt * x
v <- t(x) %*% y # Calcul de la matrice a diagonaliser
d12 <- sqrt(d)
v <- d12 * v
v <- t(d12 * t(v))
res <- eigen(v, symmetric = T)
# Recherche des elements propres de v
#------------------------------------------------------------------------
# Factors associated with very small eigenvalues removed
#-------------------------------...
2001 Oct 18
0
General Matrix Inverse
Generalised Inverse:
The Moore-Penrose Generalisied Inverse is probably better defined as a
pseudo-Inverse that arises in solving least squares problems.
Another well known pseudo-Inverse is the so-called Drazin pseudo-Inverse.
If memory serves (and it's been 10-12 years!) it can be obtained via a
diagonalisation.
Anyway, I dare say Prof. Ripley (among others) probably has "all the