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Calculation of scattering amplitudes as continuous functions of energy: R-matrix theory without a box
Published 1998Journal article -
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Comprehensive evaluation method of correlation index between meteorological conditions and load based on random matrix theory
Published 2022-11-01Subjects: “…Random matrix theory…”
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Random Matrix Theory for Sound Propagation in a Shallow-Water Acoustic Waveguide with Sea Bottom Roughness
Published 2023-10-01Subjects: Get full text
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A Data-Driven Vulnerability Evaluation Method in Grid Edge Based on Random Matrix Theory Indicators
Published 2020-01-01Subjects: Get full text
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Eigenvalue-based Detection Techniques Using Finite Dimensional Complex Random Matrix Theory: A Review
Published 2018-06-01“…Therefore, another appealing side of eigenvalue based primary user detection algorithms is the fact that they are totally immune to uncertain noise levels so they are called robust detectors. Random matrix theory (RMT) is a useful tool which is applicable across a large number of fields and in the last decade, a considerable applications in signal detection has emerged. …”
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Massive-scale gene co-expression network construction and robustness testing using random matrix theory.
Published 2013-01-01“…A knowledge-independent thresholding technique, such as Random Matrix Theory (RMT), is useful for identifying meaningful relationships. …”
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A Fast Reactive Power Optimization in Distribution Network Based on Large Random Matrix Theory and Data Analysis
Published 2016-05-01Subjects: “…random matrix theory…”
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Random Matrix Theory-Based Reduced-Dimension Space-Time Adaptive Processing under Finite Training Samples
Published 2022-08-01Subjects: Get full text
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A Proposal to Solve Finite <i>N</i> Matrix Theory: Reduced Model Related to Quantum Cosmology
Published 2022-08-01Subjects: Get full text
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Random Matrix Theory Analysis of a Temperature-Related Transformation in Statistics of Fano–Feshbach Resonances in Thulium Atoms
Published 2020-12-01“…We performed random matrix theory simulations of such spectra and analyzed the resulting statistics in an attempt to understand the mechanism of the transformation. …”
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Study of Electrical Properties of Nano TiO2 Coatings Based on the Characteristic Matrix Theory and the Brus Model
Published 2022-06-01“…The program depends on the Characteristic Matrix Theory and The Brus Model. …”
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Learning rates as a function of batch size: a random matrix theory approach to neural network training
Published 2022“…We study the effect of mini-batching on the loss landscape of deep neural networks using spiked, field-dependent random matrix theory. We demonstrate that the magnitude of the extremal values of the batch Hessian are larger than those of the empirical Hessian. …”
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Application of unfolding transformation in the random matrix theory to analyze in vivo neuronal spike firing during awake and anesthetized conditions
Published 2018-03-01“…To overcome this problem, we developed a method utilizing the unfolding transformation which analyzes the energy level statistics in the random matrix theory. We regarded the energy axis as time axis of neuron spike and analyzed the time series of cortical neural firing in vivo. …”
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Monte Carlo simulation of transfer reactions using extended R-matrix theory picturing surrogate-type WFCF features
Published 2016-01-01“…Our proposal is to handle the various difficulties by using a more rigorous approach relying on Monte Carlo simulation of transfer reactions with extended R-matrix theory. The multiple deficiencies of the historical surrogate treatment are recalled but only one is examined in some details here; meaning the calculation of in-out-going channel Width Fluctuation Correction Factors (WFCF) which behavior witness partly the failure of Niels Bohr’s compound nucleus theoretical landmark. …”
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A Data Driven Approach to Robust Event Detection in Smart Grids Based on Random Matrix Theory and Kalman Filtering
Published 2021-04-01Subjects: Get full text
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