Your English writing platform
Discover LudwigSuggestions(2)
Exact(30)
Assume that are two regressive functions, then.
Let be two regressive functions, we define (2.8).
Let be two regressive functions, then define (2.8).
Let p, q be regressive functions on (mathbb{T}).
Let be two regressive functions, then we define.
We define the set of all positively regressive functions by.
Similar(30)
If is a regressive function, then the generalized exponential function is defined by (2.6).
If is regressive function, then the generalized exponential function is defined by.
Our algorithm assumes that for each data point, the label values of both this data point and its neighbors can be well estimated using a locally regressive function.
If p is a regressive function, then the generalized exponential function (e_{p}) is defined as the unique solution of the initial value problem (y^{Delta} = p(t y), (y(s) = 1), where (s in mathbb{T}).
If (p:mathbb{T}tomathbb{R}) is a regressive function and (t_{0}inmathbb{T}), then (see Theorem 2.33 [5]) the exponential function (e_{p}(cdot,t_{0}) ) is the unique solution of the initial value problem y^{Delta}(t)=p(t y(t),quadquad y(t_{0})=1.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com