Your English writing platform
Discover LudwigExact(60)
The main aim of this section is to establish some other new linearization formulas free of any hypergeometric functions.
The aim of this section is to give some insights about the applicability of our method to nonlinear models.
The aim of this section is twofold.
The aim of this section is to prove Theorem 2.1.
The aim of this section is to derive a distributed energy-efficient resource allocation algorithm.
The aim of this section is to numerically solve (13) for different values of the parameters.
The main aim of this section is to present multiplicity results.
The aim of this section is to give a numerical example to illustrate our main results.
The aim of this section is to derive the solution formula for the problem (1.1), (1.2).
The aim of this section is to model sparse growing networks.
The aim of this section is to provide some examples of organization-centric analyses.
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