A module providing functions specific to dynamical modelling. So
far only for iterating Leslie matrices. iterate_lambda iterates a
matrix a certain number of times and returns, as a scalar greta array, the
terminal growth rate for the first element of the state vector.
iterate_state carries out the same procedure, but returns the final
state vector. iterate_lambda_vectorised is a vectorised version of
iterate_lambda for iterating over multiple matrices, returning a
vector of growth rates.
a square, two-dimensional (i.e. matrix-like) greta array representing transition probabilities between states
a column vector greta array representing the initial state from which to iterate the matrix
a positive integer giving the number of times to iterate the matrix
a rectangular two-dimensional greta array of dimension n x m^2, each row of which gives the rowwise elements of a different m x m matrix to iterate
the number of m x m matrices to be iterated (first dimensions of
matrices)
the dimension of each matrix to be iterated
dynamics$iterate_lambda(matrix, state, niter) dynamics$iterate_state(matrix, state, niter) dynamics$iterate_lambda_vectorised(matrices, state, n, m, niter)