Your English writing platform
Discover LudwigExact(60)
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.
This optimized condition is acceptable from economical, safe as well as feasible point of view.
The output feedback robust controller design may be reduced to the problem of finding a feasible point under Biaffine Matrix Inequality constraint.
Let z be any feasible point for MPEC.
Then, for any feasible point, we have (2.10).
Therefore, we have proved that is a feasible point.
If is a feasible point of problem (2.2), then (2.4).
Let (V,t be a feasible point to (24).
Let z̄ be a feasible point of MPEC.
Anypoint x ∈ X is called the feasible point of (NP).
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