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At first, a stochastic procedure is proposed to be applied into optimization problems.
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However, patency rates in such procedures have been proposed to be dependant on several factors including the type of graft, site of anastomosis and distal run-off [38] [40].
A procedure is proposed to enable the strength to be estimated from an initial input of the chemical composition alone.
A two-step procedure is proposed to evaluate the equipment that should be targeted for the application of compensating solutions.
Since no standardJIC-values can be determined, a procedure is proposed to evaluate an alternative measure of the fracture initiation toughness, i.e. "quasi-initiation J-integral values.
The data of a total of 5190 numerical models associated with seven parameters covering almost all the practical cases are then obtained, and a step-shaving procedure is proposed to derive formulas that are influenced by multiple variables.
A sequential forward selection procedure is proposed to construct a genetic interaction network which is illustrated through a tree-based diagram.
Particle release curves involving decay losses in both diffusion and effusive-flow are computed; and a numerical procedure is proposed to measure the diffusion coefficients and the characteristic effusion times of rare isotopes in target ion source systems.
On the other hand, the relationship between the statistical characteristics (e.g. average and variance) of the overall strength and those of the unconfined compressive strength is examined, whereby a simple procedure is proposed to estimate the former from the latter.
Furthermore, the partial decoding at relays is allowed and a progressive processing procedure is proposed to reduce the complexity and adapt to the source-relay channel variations.
Then, some results of H∞ optimization are exploited and an LMI solution procedure is proposed to synthesize the desired robust observer.
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