The phrase "a negative constraint" is correct and usable in written English.
It can be used in contexts where you are discussing limitations or restrictions that are unfavorable or undesirable.
Example: "The project faced a negative constraint due to budget cuts, which hindered our progress."
Alternatives: "a limiting factor" or "an adverse restriction".
If they incohere, the result is a negative constraint.
By contrast, satisfying a negative constraint means accepting one proposition while rejecting the other.
Some philosophers argue that the obligation to respect person functions as a negative constraint: respect involves refraining from regarding or treating persons in certain ways.
Besides, we can define a negative constraint based on social relationship, i.e., two references that co-occur in the same hyper-edge cannot refer to the same individual.
The DRR is a negative constraint; it identifies a kind of reason that cannot itself justify a coercive law and so a kind of reason on which citizens may not exclusively rely when supporting a coercive law.
In the case of a negative constraint, not implemented in RAxML, we used the best Bayesian tree (MrBayes, two independent runs, 2×10 generations each).
For a fresh start Europe needs to build integration with a positive vision from the ground up instead of only through the back door of a common currency rooted in the negative constraint of rigid debt and a deficit constraints.
In this study, a novel model combining a data preprocessing technique, forecasting algorithms, an advanced optimization algorithm, and no negative constraint theory is developed.
But this negative constraint is typically conjoined with a permission: although citizens may not support coercive laws for which they believe themselves to have only a religious rationale, they may support coercive laws for which they believe there is only a plausible secular rationale.
Unlike the above-mentioned methods, we use a variable substitution method to obtain a non-negative constraint of solution, in which the solution is substituted by a non-negative expression.
The final problem is reduced to an objective function with a non-negative constraint that can be solved efficiently using the LARS/homotopy algorithm.
