The phrase "acceptable computing" is correct and usable in written English.
It can be used in discussions about technology, ethics, and standards regarding the use of computers and software that meet certain ethical or quality criteria.
Example: "The company is committed to acceptable computing practices, ensuring that all software used is both ethical and efficient."
Alternatives: "ethical computing" or "responsible computing".
Hence, only small instances can be optimally solved in an acceptable computing time.
It is based on a novel combination of nonlinear damage analysis with efficient probabilistic reliability estimations, balancing mechanical modelling, analysis and stochastic aspects with acceptable computing time.
We report on our computational experience on these test instances, showing that the method we propose is capable of finding tight lower bounds and approximate solutions for real-world instances, within acceptable computing time.
They proposed some hybrid genetic-based heuristics to solve the problem in an acceptable computing time.
This choice makes it possible to achieve both acceptable computing times and reliable integration results in "Results and discussion" section.
Because their model is more involved, some approximations to the solution of the Fokker Planck equation are applied, to ensure acceptable computing times.
Monte Carlo simulation is employed to compute them with acceptable computational cost.
"If the parties are unable to reach a mutually acceptable agreement, computing the amount of a service-related reduction is typically a question for a judge to decide".
In a fully productive application, the processor usage periodically varies between 5% and 35% with a mean of 10%, which is by far an acceptable continuous computing load.
Then their method is acceptable in computing multiplications of low depth, such as the standard deviation which can be calculated by depth-one multiplications (in fact, the authors in [16] apply their packing method to compute simple statics such as the mean, the standard deviation, and the logistical regression on encrypted data).
PHYML [ 40] is one of the fastest maximum-likelihood tree reconstruction methods for generation of large trees with an acceptable CPU computing time.
