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A common design based solution is to use weighted estimators where the contribution of unit i is weighted by the inverse probability of selection into the sample [ 25, 26].
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The comprehensive learning particle swarm optimization (CLPSO) based solution method is designed to search the optimal solutions of the proposed model.
A 25−1 fractional factorial design based on the carrier solution composition and the levels of the hydrodynamic parameters was used for system optimization.
This has necessitated the use of empirically based solutions in design that can only be used within the bounds of the tests from which they were developed and tend to be conservative.
Enterprise based solutions are designed to be used by a single management team and offer similar access to all users.
Realistic case studies are considered, taking as reference solution the design based on the modal response spectrum method.
410 Urea compounds were then designed and synthesised as singles in solution, the design based on the diarylurea hits, and they were screened in a Cdk4 inhibition assay.
Therefore, the computational complexity at each iteration can be considered of order O N 3. On the other hand, the design based on a closed-form solution requires the computation of a Frobenius norm and N real division.
The authors' aim, in accordance to standards requirements, is to achieve a final design based on an optimized structural solution for the chosen process technologies taking into account the low volume production, typical attitude of the aeronautical industry.
On that basis, the authors propose a novel design based on a successive approximation (the solution does not admit an analytical expression) of the LMMSE distortion, which turns out to be computationally efficient and exhibits excellent convergence properties.
Hardware and software based solutions are available.
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CEO of Professional Science Editing for Scientists @ prosciediting.com