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Elastic deformations were considered and an algorithm was suggested to calculate normal and shear stress across the coating thickness for various numbers of layers and layer thickness.
In this paper, an algorithm was suggested to ascertain optimal strategy of a MG including WFs, PV, TST, fuel cell, CHP units, boiler, and ESDs, by considering economic and technical constraints and DR program.
In [8], an iterative algorithm similar to the LMS (least mean squares) algorithm was suggested to update the m j and r in the case of MSE optimization: m ( n e x t, j ) = m ( j ) + 2 α ( d i - y i ) ∂ y i ∂ m ( j ) ∀ j ∈ A (6) r ( n e x t ) = r + 2 β ( d i - y i ) ∂ y i ∂ r (7).
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Here an iterative algorithm is suggested to find armload variation.
A genetic algorithm and an insertion heuristic algorithm are suggested to obtain near optimal solutions.
Secondly, an improved simulated annealing algorithm is suggested to produce a solution to DDRLP.
Based on the design conditions, a numerical algorithm is suggested to find the desired controllers.
An iterative algorithm is suggested to obtain quasi-convex Linear Matrix Inequalities (LMIs) from BMIs.
To overcome this problem, a direct fit algorithm is suggested to calculate the coefficients of the frequency components.
Moreover, a routing algorithm is suggested to route the FPGA using the multiplexed switchboxes to evaluate the proposed architectures.
A monitoring strategy and algorithm are suggested to maximize performance utilizing more of the available information and computing power.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com