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A new preconditioned conjugate gradient (PCG)-based domain decomposition method is given for the solution of linear equations arising in the finite element method applied to the elliptic Neumann problem.The novelty of the proposed method is in the recommended preconditioner which is constructed by using cyclic matrix. The resulting preconditioned algorithms are well suited to parallel computation.

In this work we have designed a Luenberger Observer for an Electromechanical Actuator (EMA). We have considered a simple linear model of the Actuator plant with neglecting nonlinearities. The model of the EMA, the Observer and the simulations have been computed in MATLAB ® . In our simulation we have examined the dynamics of the planned Observer. With different pole placement proportions and state estimation error conditions, three states have been estimated: Motor current (X 1 ), angular velocity of the throttle plate (X 2 ), and angular position of the throttle plate (X 3 ). Outline of our examination should be to take the conclusions from the influence of the pole placement and error condition on the dynamics of the Observer. Thus determining of an optimal pole values for the proposed Luenberger Observer. Outline of this paper could be used for further research topics (fault detection in Electromechanical Actuator).

Digital holography replaces the permanent recording material of analog holography with an electronic light sensitive matrix detector, but besides the many unique advantages, this brings serious limitations with it as well. The limited resolution of matrix detectors restricts the field of view, and their limited size restricts the resolution in the reconstructed holographic image. Scanning the larger aerial hologram (the interference light field of the object and reference waves in the hologram plane) with the small matrix detector or using magnification for the coarse matrix detector at the readout of the fine-structured aerial hologram, these are straightforward solutions but have been exploited only partially until now. We have systematically applied both of these approaches and have driven them to their present extremes, over half a magnitude in extensions.