Sentence examples for computational expenditure from inspiring English sources

Exact(5)

The computational expenditure of both realisations is derived under the restriction of finite coefficient wordlengths.

Each module uses engineering methods to keep the total computational expenditure for the complete simulation within acceptable limits.

The resulting scheme maintains high accuracy, while, by virtue of its sub-gridding capability, significant reduction of the computational expenditure has been obtained.

In this bi-directional coupled approach, the computational expenditure of the full model is overwhelmed by the high-fidelity DEM algorithm that needs to solve a set of ODEs for each and every particle being handled in the system for very small time intervals.

SA produced the greatest quality improvements in some cases whereas first-ascent hill-climbing generally produced quality improvements for the least computational expenditure.

Similar(55)

It was observed that computational effort and expenditure have been exponentially decreased via such a technique.

However, accurate indoor positioning systems still present high costs in terms of hardware price, deployment expenditures, computational cost, and complexity, especially for very accurate solutions, such as UWB.

In the remainder of this section, we will evaluate the average performance of our proposed algorithm in terms of power expenditure and computational burden using realistic system parameters and extensive simulation campaigns.

Though we employ different cardinality limits for the network based (k ≤ 10) and brute force (k ≤ 2) approaches in this benchmark, we note that these results reflect a similar order of magnitude of LP operations (115,243 vs 487,671), resulting in higher return for a similar expenditure of computational resources.

Although this approach has obvious benefits in terms of resource expenditures and computational processing, there are several potential disadvantages.

Furthermore, the cell decomposition algorithms such as D* (and its evolutions such as D*-Lite and E*), ARA* and AD* are based in the A* and were developed to solve problems of computational cost, processing time, or memory expenditure.

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