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The standard logistic function is the logistic function with parameters =, =, =, which yields = + = + = / / + /.In practice, due to the nature of the exponential function, it is often sufficient to compute the standard logistic function for over a small range of real numbers, such as a range contained in [−6, +6], as it quickly converges very close to its saturation values of 0 and 1.
Inverted logistic S-curve to model the relation between wheat yield and soil salinity. Many natural processes, such as those of complex system learning curves, exhibit a progression from small beginnings that accelerates and approaches a climax over time. When a specific mathematical model is lacking, a sigmoid function is often used. [6]
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.
Download QR code; Print/export Download as PDF; Printable version; In other projects Wikidata item; Appearance. ... Viviani's curve; Curves generated by other curves
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S curve or S-curve may refer to: S-curve (art), an S-shaped curve which serves a wide variety of compositional purposes; S-curve (math), a characteristic S-shaped curve of a sigmoid function; S-curve corset, an Edwardian corset style; S-Curve Records, a record company label; Reverse curve, or "S" curve, in civil engineering
The Gompertz curve or Gompertz function is a type of mathematical model for a time series, named after Benjamin Gompertz (1779–1865). It is a sigmoid function which describes growth as being slowest at the start and end of a given time period.