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Code Ocean is a cloud-based platform that makes the computational code used in research both accessible and usable.
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.
The proposed scheme works based on the Elliptic Curve Cryptography (ECC) algorithm, which makes the computational cost of the handover process smaller compared to other handover schemes.
The coupling of the discontinuous nature of uncertainty representation in evidence theory with practical complex problem makes the computational cost extremely prohibitive.
The use of multiple code-books and a reflection constraint makes the computational complexity linearly depend on the number of stages involved.
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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.
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.
The body-fitted coordination is used to make the computational grids best fit the shape of conical contour of the base in the spouted beds.
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.
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.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com