Comments (3)
For eigenvalues, there is a dedicated function https://play.nim-lang.org/#ix=2LSo
import neo
let m = matrix(@[
@[1f64, 2, 3],
@[4f64, 5, 6],
@[7f64, 8, 9]])
let e = m.eigenvalues()
echo e.real
echo e.img
For normal matrices, the eigenvectors can be read from the column vectors of its Schur decomposition (m.schur()
), but I do not recall whether there is something more general than that in Neo
from neo.
Something like this should work:
import neo
let
m = matrix(@[
@[1f64, 4, 7],
@[4f64, 5, 8],
@[7f64, 8, 9]
])
s = m.schur()
e = s.eigenvalues.real
f = s.factorization
for i in 0 .. 2:
echo e[i]
echo f.column(i)
https://play.nim-lang.org/#ix=2LSx
from neo.
Thank you!
from neo.
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