Abstract: In this work, we developed an adaptive frequency sweep algorithm exploiting the Loewner matrix model. This algorithm requires two Loewner matrix models. In addition to the conventional ...
ABSTRACT: Properties from random matrix theory allow us to uncover naturally embedded signals from different data sets. While there are many parameters that can be changed, including the probability ...
Properties from random matrix theory allow us to uncover naturally embedded signals from different data sets. While there are many parameters that can be changed, including the probability ...
This study uses random matrix theory to provide mathematical criteria determining whether network indeterminacy—the unpredictability of perturbation outcomes via complex networks—emerges in ecological ...
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Code for my bachelor thesis Quantum chaos on Graphs. The main part of this repository is its root-finding solution. Then, the Nearest Neighbor Distribution is performed for the quantum spectra and ...
Scientists have used random matrix theory to theoretically show that neutrino mass hierarchy can be mathematically explained. Random matrix theory helps explain neutrino mass differences, supporting ...
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