Your English writing platform
Discover LudwigExact(30)
The average is performed over the channel realizations that provide feasible points.
These feasible points do satisfy the result of the weak duality theorem since.
This method generates a sequence of feasible points with nonincreasing objective values.
When it is high, some of the channel realizations do not produce feasible points and are discarded.
This occurs due to that fact of DENC and DEC using the convex representation which ensures sampling feasible points, always.
That is to say, the proposed algorithm generates a sequence composed of feasible points in its iterations.
Similar(30)
For a probabilistic constraint where the random vector has a continuous distribution, checking the feasibility of each feasible point requires a complex multi-dimensional integration.
A two-phase strategy is employed, where the first phase involves finding feasible point through minimizing a smooth constraint violation function (feasibility phase).
Solution feasibility is always ensured by starting the search from a feasible point and allowing only feasible moves, thus reducing the search space as well.
Let z be any feasible point for MPEC.
Then, for any feasible point, we have (2.10).
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