Sentence examples for complexity of removing from inspiring English sources

The betweenness-based node removal is the second best algorithm among the four CNI algorithms, but requires more computation time compared to Algorithm B. The complexity of the random node removal is O(mn) because the complexity of removing a randomly selected node at each step is O(n).

Many companies feel regulating or restricting certain substances can be a significant challenge, in terms of the complexity of removing or replacing a substance and the associated costs.

What today's decision won't resolve are the technical complexities of removing mercury waste from coal plant emissions.

The strategic realignment we announced last quarter was a good first step in addressing this problem by beginning the process of removing complexity, simplifying our operations, and reducing costs.

Therefore, by deviating from the general case model of an IaaS cloud architecture, and by considering the special needs of the market, we can minimize the complexity of deployment by removing the necessity of a fine-tuned configuration.

So they came up with a set of equations tailored to the stellar gas in a budding supernova that left intact most of the complexity, but removed the affect of sound waves from the calculation.

Additionally, when a person is on a diet, the complexity of eating is removed, as usually there are fewer choices.

Many longtime users were upset with the mandatory migration to the Beta version which adds visual complexity and removes many of the features, such as comment viewing, that distinguished Slashdot from other news sites.

The low complexity filter removes regions of query sequence which are highly repetitive and which could lead to spurious high similarity with unrelated proteins.

Reducing the complexity of the system, and removing the distinction between in-work and out-of-work support, thus making clear the potential gains to work and reducing the risks associated with moves into employment.

We first reduce the structural complexity of the network by removing dependent species, and second, we sample locally stable parameter sets to reflect realistic biological states of cells.