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Everything about Generalised logistic function

Mathematical function

The generalized logistic function or curve is an extension of the logistic or sigmoid functions. Originally developed for growth modelling, it allows for more flexible S-shaped curves. The function is sometimes named Richards's curve after F. J. Richards, who proposed the general form for the family of models in 1959. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Generalised logistic functionA 5-minute orientation
  2. Skim a recent paper: Generating Slip Surfaces Using the Logistic Function IntegralInfluential work since 2022
  3. Pick up a classic book: Computational Science and Its Applications – ICCSA 2013The most-reprinted book on the subject
  4. Read the landmark paper: LAS: A combination of the analytic signal amplitude and the generalised logistic function as a novel edge enhancement of magnetic dataCited 31 times
  5. Go sideways: Gompertz functionA closely related topic
  6. Go sideways: Variance functionA closely related topic

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🆕 Influential since 2022

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