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Discover Ludwig"feasible set" is a correct and commonly used term in written English.
It is typically used in a professional setting to refer to a collection of potential options or solutions that are practical and reasonably achievable. For example: "After assessing our timeline and budget, we narrowed down our choices to a feasible set of options."
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Now the feasible set may be expanding.
Next, the feasible set of the optimization problem is reduced.
The transformation requires the choice of a feasible set of reference components.
These metrics include the effort expenditure and the feasible set of operational space accelerations during the performance of the skill.
Then we propose a new method which relaxes the convexity assumptions on the feasible set and the losses.
In this note, we describe the compromise set for a special polyhedral convex feasible set.
By using first-order approximations of the feasible set corresponding constraint qualifications are developed.
Furthermore, a systematic procedure for computing such a feasible set is given.
The extreme points in the feasible set of pmf's can be computed using graph theory.
We identify the relevant extreme points and faces of the feasible set.
The stability domain is a feasible set for numerous optimization problems.
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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