leslie(f, s)
Given the length n array of fecundity coefficients f and the length n-1 array of survival coefficients s, return the associated Leslie matrix.
The Leslie matrix is used to model discrete-time, age-structured population growth . In a population with :None:None:`n` age classes, two sets of parameters define a Leslie matrix: the :None:None:`n` "fecundity coefficients", which give the number of offspring per-capita produced by each age class, and the :None:None:`n` - 1 "survival coefficients", which give the per-capita survival rate of each age class.
The "fecundity" coefficients.
The "survival" coefficients, has to be 1-D. The length of s must be one less than the length of f, and it must be at least 1.
The array is zero except for the first row, which is f, and the first sub-diagonal, which is s. The data-type of the array will be the data-type of f[0]+s[0]
.
Create a Leslie matrix.
>>> from scipy.linalg import leslieSee :
... leslie([0.1, 2.0, 1.0, 0.1], [0.2, 0.8, 0.7]) array([[ 0.1, 2. , 1. , 0.1], [ 0.2, 0. , 0. , 0. ], [ 0. , 0.8, 0. , 0. ], [ 0. , 0. , 0.7, 0. ]])
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scipy.linalg._special_matrices.leslie
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