Your English writing platform
Discover LudwigSuggestions(1)
Exact(10)
Computational experiences from test problems show that the proposed approach is extremely effective and efficient.
Applications to several test problems show that the artificial stress works effectively.
Various test problems show that the improved CIP method has approximate third-order accuracy.
Results based on a new set of test problems show that the proposed heuristic outperforms all these reinforced heuristics.
Computational results from test problems show that our proposed model and solution approach are both effective and efficient.
Experimental results on twenty-three popular test problems show that the proposed algorithm performs better than or as well as four other compared algorithms.
Similar(50)
Computational results of five different test problems showed that the method was highly effective.
Results of computational experiments on randomly generated test problems showed that the B&B algorithm found optimal solutions of problems of moderate sizes in a reasonable amount of computation time.
The computational experiments on well known large-scale test problems showed that the new decomposition approach, based on the above improvements, outperforms the technique, in both, in serial and parallel environments and can further achieve a better scalability.
The results of a number of illustrative testing problems show that the SOAPS-II consistently outperforms other penalty function approaches.
An urban dam-break flood test problem shows that weighted partitions achieve a parallel efficiency exceeding 70% using up to 48 processes.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com