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Existing simulators are unable to analyze the behavior of large systems in a reasonable time, whereas analytical methods suffer from the state space explosion problem.
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Already rather small molecules can have classical properties, so that a classical behavior is not a characteristic property of large systems.
The dynamic behavior of large power systems has been traditionally studied by means of time-varying phasors, under the assumption that the system is quasi-static.
Policies are used to control the behavior of large-scale systems.
Developing a more formal understanding of the security behavior of large-scale systems is a crucial foundation for sound public policy.
Understanding the behavior of large-scale systems is challenging, but essential when designing new Internet protocols and applications.
Based on the obtained knowledge, a circuit-based model of the transfer channel has been designed, allowing to estimate the behavior of larger battery systems.
As simulations are becoming popular in the analysis of the complex behavior of large-scale systems with immense inputs and outputs, there is an increasing demand to efficiently store, manage, and analyze massive simulation outputs.
The range of behaviors of large, interacting systems of molecules is defined by high-dimensional mathematical spaces that are non-trivial to fully explore.
The results indicate that the proposed algorithm, though approximate, can yield very accurate information about dynamic behavior of large order non-linear systems, even with few numbers of retained component modes.
The ability of the simplified subsystem to capture the salient behavior of the larger system is verified by the comparison of results to experimental data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com