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1

To repeat the answers you got at your cross-post https://stackoverflow.com/questions/69292456/logistic-growth-curve-using-scipy-is-not-quite-right The logistic curve is rather rigid in its symmetry. Forcing the initial value to be some prescribed constant effectively removes a degree of freedom in the family of curves that are available to the fitting ...


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I'm not sure if Nick's answer is right or maybe it was working in the previous version but it does not really in this one. First of all, reverse_cuthill_mckee does not take a NumPy array as an input but it takes a csr_matrix. I think it should be: arr = [ [0, 1 , 2, 0], [0, 0, 0, 1], [2, 0, 0, 3], [0, 0, 0, 0] ] graph = csr_matrix(...


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