Description Usage Arguments Value Examples
The eigendynamics for a given k-cone is the set of k vectors reproducing the original k-cone with the most accuracy, using only k basis-vectors. Here, only the first eigendynamics is guaranteed to be consistent with the k-cone (all entries positive), all the additional eigendynamics can be intepreted as fine tuning of the first eigendynamics.
1 | eigendynamics(basis, n = 1)
|
basis |
The k-cone to be reduced. |
n |
The number of eigendynamics to extract. Defaults to only the first. |
A matrix containing the first k eigendynamics in its columns.
1 2 3 4 | S <- matrix(c(1,0,0,1,-1,0, 0, -1), nrow=2)
rownames(S) <- c('A', 'B')
V <- polytope_basis(S)
ed <- eigendynamics(V) # gets the eigenpathways
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