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In this paper two analytical approximate solving procedures for a complex-valued differential equation are developed.
Therefore, they are suitable for improving the efficiency of constraint solving procedures.
(i) Systems used to perform noninterventional problem solving procedures shall have radiographic magnification capability available for use by the operator.
To handle a large solution space, we develop an efficient optimization scheme that alternates the solving procedures between two coupled problems with a reasonable computational load.
A combination of indentation testing and scanning electron microscopy (SEM) is utilized to confirm the validity of the models and the solving procedures.
However, KM may also have a nature, knowledge inertia (KI), stemming from the use of routine problem solving procedures, stagnant knowledge sources, and following past experience or knowledge.
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A hybrid analytical numerical solving procedure is established.
The mathematical problem definition and the problem solving procedure are shown.
This rotational degree of freedom is managed during the contact solving procedure.
A sequential Mixed Integer Linear solving procedure is then used to solve the timetabling optimization problem with unknown train loads.
Then, according to the derived mode functions, Galerkin's solving procedure is conducted for shells including the initial geometric imperfection.
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