Sentence examples for a good partitioning from inspiring English sources
A good partitioning scheme is a tradeoff of some constraints, such as power, size, performance, and so on.
Confronted with the combinatorial challenge of the districting problem, we propose a simulated annealing algorithm to search for a "good" partitioning of the police jurisdiction.
A good partitioning will reduce the index size by distributing the load equally to the machines in the cluster and improves the performance of query evaluation.
The lack of experience many US students get with partitioning partially explains why it took many probable aTNS and ENS students multiple tries to get a good partitioning or why they did not attempt to make an accurate partitioning.
In 2002, a simulated annealing approach was used by Amico et al., to search for a good partitioning of the police command districts by assessing the average response time and variation of workload of police officers with a simulation called PCAM [4].
While not all students categorized as INS or eTNS in our study have solutions like those shown in Fig. 7 (a and b), all but one of these students was unsuccessful in coming up with a good partitioning, which we judged by using a minimum and maximum size for each of the partitions.
Note that the reactome data has a weak cluster structure, thus the LRW algorithm has difficulty to find a good partition for it.
Therefore, in this paper, we design a new modularization quality measure based on the similarity, labeled as MS, to automatically guide optimization algorithms to find a good partition of software systems which considers both global modules and edge directions.
This gives us already quite a good partition, however, it can be easily further improved.
The rationale for their algorithm lies in the fact that a good partition of a network must consist many intra-module links and few inter-module links.
Under the control of evolution-communication mechanism, the tissue-like membrane system cannot only find the most appropriate number of clusters but else determine a good clustering partitioning for a data set.
