"resolution condition" is a correct and usable phrase in written English.
It is typically used to refer to a set of criteria that must be met before an issue can be resolved. For example, "The resolution condition was that the two parties would have to agree on a compromise."
Resolution condition of not less than 2.0 between lafutidine and related compound D was set as system suitability parameter for SSM.
In the case of single parameter type classes, the overloading resolution condition for constrained type (PRightarrow tau ) is simply (tv(P not subseteq tv tau )) (i.e., there is a type variable that occurs in (P) but not in (tau )).
The overloading resolution condition used in Haskell (Haskell 98 or Haskell 2010), which supports only single parameter type classes, has been changed in Haskell implementations that support multi-parameter type classes.
In Haskell, a syntactic condition on type expressions that characterizes overloading whose resolution cannot be further deferred (i.e., must have occurred), which we call overloading resolution condition characterizes also "type ambiguity".
even at high fluxes and at different throughput and energy resolution conditions.
where the objective function represents the residual localization error and the constraints arise from the TA resolution conditions.
The original videos with a resolution of 1280 × 720 were collected, and the video recaptures were conducted with the same resolution conditions.
Conventional, manual methods for field monitoring of erosion and deposition, however, normally deliver information of low temporal resolution conditioned by infrequent field resurveys.
The simultaneous optimization of the responses for separation of six sets of CHOs was performed employing empirical models for prediction of optimal resolution conditions in six matrices, condensed milk, orange juices, rice bran, red wine, roasted and ground coffee and breakfast cereal samples.
All this demonstrates that, under the high resolution conditions (NA = 1.4) here used, this methodology is able to successfully deal with the aberrations present in the imaging system.
Nonetheless, the proposed KLRC algorithms still could perform well under the very low-resolution condition.
