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In this case, the likelihood function is based on local neighborhoods computations thus dramatically decreasing the computational load of the algorithm.
This will enable decreasing the computational time and predicting the final geometry of cold-roll-formed product.
Emphasis is placed on the development of simple strategies for decreasing the computational cost required by the development of such structures.
Moreover, it is also shown that fast algorithm is useful in decreasing the computational time of finding both traditional reduct and attribute clustering based reduct.
Moreover, the two pruning techniques are extremely effective in decreasing the computational effort of each agent by reducing the size of the search space by up to 92%.
A finite sequence of identical sub-layers through the thickness of the medium can be handled within the transfer matrix method, significantly decreasing the computational burden.
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Previous studies have mostly relied on parallelization and grid computing to decrease the computational time of MCSs.
In order to decrease the computational cost, only the neighbor measurements are considered for density computation.
To decrease the computational cost of the GT2FS, a simple type-reduction method is proposed.
To decrease the computational effort, the number of scenarios is reduced using k-means clustering algorithm.
The methodology decreases the computational cost while offering a high degree of physical insights.
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CEO of Professional Science Editing for Scientists @ prosciediting.com