Your English writing platform
Discover LudwigExact(51)
Design vector.
Moreover, the feasibility robustness index for a design vector has the following properties.
A feasible robust design vector is always superior to an infeasible one.
That is, design vector x1 is superior to design vector x2 when (I_{text{FR}} left( {{varvec{x}}_{1} } right) = 1) and (I_{text{FR}} left( {{varvec{x}}_{2} } right) < 1).
The feasibility of a design vector x is determined by the total DICV of all its interval constraints and a design vector x is regarded as feasible when its total DICV is zero.
Specifically, feasible design vector x1 is superior to feasible design vector x2 when (I_{text{OR}} left( {{varvec{x}}_{1} } right) > I_{text{OR}} left( {{varvec{x}}_{2} } right)). .
Similar(9)
The modifications to the vector were again confirmed by sequencing, and we designated the designed vector as pAAV-LIC.
(3) The feasible robust design vectors are ranked according to their objective robustness indices.
(2) The infeasible design vectors are ranked according to their corresponding values of feasibility robustness indices.
And finally the design vectors are directly sorted according to the DICV based preferential guidelines.
The feasible robust design vectors are ranked according to their objective robustness indices.
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