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Krylov Subspace Methods for Model Order Reduction in Computational Electromagnetics.

This paper describes an approach for the magnetic reconstruction in large scale tokamak devices that is suitable for a real time employment in order to provide reference for an active control action during the whole plasma evolution.

A broad class of natural and man-made systems exhibits rich patterns of clustersynchronization in healthy and diseased states, where different groups of interconnectedoscillators converge to cohesive yet distinct behaviors. Consensus-based Anomaly Detection for Efficient Heating Management. Applied Mathematical Modelling - [submitted], IFAC World Congress 2017 - [accepted], 20XX This paper presents a model order reduction method via Krylov subspace projection, for applications in the field of computational electromagnetics (CEM).

To provide a rigorous characterizationof cluster synchronization, we study networks of heterogeneous Kuramoto oscillators and wequantify how the intrinsic features of the oscillators and their interconnection paramentersaffect the formation and the stability of clustered configurations. IEEE International Conference on Smart City Innovations (IEEE SCI 2017) [accepted], 20XX [Bib Te X] M. The approach results to be suitable both for SISO and MIMO systems, and is based on the numerically robust Arnoldi procedure.

The concept is to have the press initiate a series of print jobs that are properly queued up by Heidelberg’s Prinect software, depending on ink layout down and imposition, and then run consistently without operator intervention.

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