Sentence examples for making the computational from inspiring English sources

This is because the structure may respond in a geometrically nonlinear manner, making the computational expense of direct numerical integration in physical degrees of freedom prohibitive.

The paper also shows how to transform the interval cost function into the scalar one, and hence, making the computational procedure trackable within the quadratic programming framework.

To overcome the unboundedness, conventional computational methods lead to extremely expensive costs, especially in high dimensions with a simple treatment of boundary conditions by making the computational domain large enough.

Nevertheless, the use of these methods requires the structural analysis of an important number of different designs, this making the computational cost of the analysis of each design a critical issue.

In order to obtain a realistic image of a geologically complex area, industrial surveys collect vast amounts of data making the computational cost extremely high for the subsequent simulations.

The number of the Boolean states is exponentially increasing with n, thus making the computational costs for the PBN model and TASEP-based simulations fast increasing with n.

However, if we directly adopt the actual 3D calculation model for the blanket design and optimization, not only will it cost extensive human and computer resources, but also make the computational process extremely complicated and lengthy.

However, if we directly adopt a three-dimensional calculation model for the blanket design and optimization, not only will it consume extensive human and computer resources, but also make the computational process extremely complicated and lengthy.

However, the resulting codes have dense parity-check matrices which makes the computational complexity of BP decoding impractically high.

Optimum design of large-scale structures by standard genetic algorithm (GA) makes the computational burden of the process very high.

A large model set makes the computational load intensive and can lead to performance deterioration of the algorithms.