Sentence examples for a reasonable execution from inspiring English sources

The penalty strategy was designed to eliminate the equalities in constraints and formulate new objective operators which guarantee feasibility within a reasonable execution time.

This limitation prevents embedded systems from performing complex tasks, such as object tracking, within a reasonable execution time.

Engage closely with the engineering team to help determine the best technical implementation methods as well as a reasonable execution schedule.

The BB algorithm used in NP-StructurePredictor still limits the number of combinatorial candidates of the side chains for each scaffold so that the program can be finished in a reasonable execution time.

When datasets are large in size in terms of volume and contain unstructured data, data processing and result generate take a considerable amount of time and KM-HMR makes an attempt to process faster within a reasonable execution time.

In this work, we use Hadoop instead of Spark to enhance overall performance levels over a reasonable execution period using low-cost machines whereby data operations and reporting requirements are static and where data are processed via batch processing.

The experimental results show that not only optimal solutions of all benchmark instances are obtained within a reasonable computer execution time, but also MBEM outperforms EM in terms of the quality of the solutions obtained, even for large-size problems.

Subsequently, we have put forwarded a lightweight RFID-based authentication scheme to provide reasonable execution time compared to existing schemes.

Then a new discrete model is built and solved in reasonable execution times for large cells volumes including such obstacles.

Bill Herbert, senior research analyst at Piper Jaffray's Simmons & Co. International, said that assuming reasonable execution of the proposed transactions, it's a welcome development that could provide Weatherford with "much-needed breathing room" over the next two years.

These allow running larger simulations while still getting reasonable execution time, as described in (Parker 2007), where an epidemic simulation runs up to 6 billion agents using a distributed simulation.