Sentence examples for a reasonable amount of computing from inspiring English sources

Exact(6)

The mean grid length in the inversion model was set to 500 m; this is the finest grid size that can be inverted in a reasonable amount of computing time using our algorithm and hardware (using an Intel Xeon E5-1620 CPU with 16.0 GB RAM).

In 1979, while a researcher at the academy, Dr. Khachiyan published a paper in a Russian mathematics journal that helped to demonstrate that certain problems in linear programming could be solved practically and in a reasonable amount of computing time.

According to the experiment results, the proposed solution process can both resolve the problems and yield good results in a reasonable amount of computing time.

The application of stochastic heuristic, like tabu search or simulated annealing, to address hard discrete optimization problems has been an important advance for efficiently obtaining good solutions in a reasonable amount of computing time.

The tools for cryptographic protocols analysis based on state exploration are designed to be completely automatic and should carry out their job with a reasonable amount of computing and storage resources, even when run by users having a limited amount of expertise in the field.

To the best of our knowledge, this form of data has not been considered by any other algorithm for this task; (ii) it simultaneously integrates several different types of data; (iii) it provides sparse solutions that are more easily be interpreted in biological contexts; and (iv) it can be solved in a reasonable amount of computing time.

Similar(54)

All of these goals should be accomplished in a reasonable amount of computational time.

All codes of practice accept simplifying assumptions that enable calculations with a reasonable amount of time and computing resources.

However, the simulation of complex systems within a reasonable amount of time remains a computational challenge.

To assure that the test could be computed in a reasonable amount of time, we aggregated the model outputs by a factor of 15 30, cut the grids to those latitudinal areas that broadly contained predicted suitable areas, and then outputted an xyz grid of longitude, latitude, and either suitable or unsuitable for both ENM and phylogeographic predictions.

Increasingly larger datasets provide new challenges to build robust and accurate predictive models within a reasonable amount of time, and may require the use of high-performance computing (HPC) or cloud computing resources [5].

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