The phrase 'in a constraint' is correct and can be used in written English.
It can be used to refer to a limit or restriction placed on a certain activity or situation. For example, "We are working in a constraint of only two weeks to finish the project."
Changes to the model are only committed if the satisfy a set of declarative constraints expressed in a constraint language.
This paper studies the application of robust model predictive control (MPC) in a constraint process suffering from time-delay uncertainty.
In a constraint grammar like optimality theory, this suggests that the internal ranking of the constraints relevant for retroflexion is determined by perceptual properties.
One big advantage of coarse-grained algorithms, like AC-3, over fine-grained algorithms, like AC-4, is the ease of integration when implementing an algorithm in a constraint solver.
SysML provides the ability to encapsulate a constraint in a constraint block so that it can be reused and bound with other constraints to represent complex sets of equations.
No type variable can have more occurrences in a constraint of a context than in the head.
An important question is: "Can we design a framework to efficiently find the optimal solution for expertise matching under various constraints?" This paper explores such an approach by formulating the expertise matching problem in a constraint-based optimization framework.
The system used in this paper makes possible to carry out training in a constraint-free context and provides the first mean of visualizing a maneuver that, until now, has been performed blindly.
Our results indicate that integrating quantitative extracellular metabolomic profiles in a constraint-based framework enables inferring changes in intracellular metabolic flux states.
To analyze a genome-scale model with EFMs in a constraint-based modelling framework, one effectively needs to limit the complexity of the model, either reducing the model size or imposing constraints.
EC numbers have the advantage that they are relatively stable over time, represent international consensus on biochemical reaction categorization, and can overcome ambiguities regarding how to represent a given metabolic reaction in a constraint-based model.
