Results 31 to 40 of about 1,036,303 (287)
Non-universality of compact support probability distributions in random matrix theory [PDF]
, 1999 The two-point resolvent is calculated in the large-n limit for the generalized fixed and bounded trace ensembles. It is shown to disagree with that of the canonical Gaussian ensemble by a nonuniversal part that is given explicitly for all monomial ...
A. Khorunzhy +14 more
core +2 more sources
Geophysical Research Letters, 2017 Recent studies have proposed that the Arctic stratospheric polar vortex has weakened and shifted away from the North Pole during the past three decades. Some of these studies suggest that this trend has been driven by a decline in Arctic sea ice leading ...
William J. M. Seviour
doaj +1 more source
Robust Evaluation of ENSO in Climate Models: How Many Ensemble Members Are Needed?
Geophysical Research Letters, 2021 Large ensembles of model simulations require considerable resources, and thus defining an appropriate ensemble size for a particular application is an important experimental design criterion.
Jiwoo Lee +7 more
doaj +1 more source
Geophysical Research Letters, 2016 The observed strengthening of the Northern Hemisphere (NH) polar vortex after tropical volcanic eruptions appears to be underestimated by coupled climate models.
Matthias Bittner +3 more
doaj +1 more source
Eigenvectors of Some Large Sample Covariance Matrices Ensembles [PDF]
SSRN Electronic Journal, 2009 We consider sample covariance matrices $S_N=\frac{1}{p} _N^{1/2}X_NX_N^* _N^{1/2}$ where $X_N$ is a $N \times p$ real or complex matrix with i.i.d. entries with finite $12^{\rm th}$ moment and $ _N$ is a $N \times N$ positive definite matrix.
Ledoit, Olivier, Péché, Sandrine
openaire +6 more sources
Selection of representative structures from large biomolecular ensembles [PDF]
The Journal of Chemical Physics, 2022 Despite the incredible progress of experimental techniques, protein structure determination still remains a challenging task. Due to the rapid improvements of computer technology, simulations are often used to complement or interpret experimental data, particularly for sparse or low-resolution data. Many such in silico methods allow us to obtain highly
Arthur Voronin, Alexander Schug
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Using orthogonal vectors to improve the ensemble space of the ensemble Kalman filter and its effect on data assimilation and forecasting [PDF]
Nonlinear Processes in Geophysics, 2023 The space spanned by the background ensemble provides a basis for correcting forecast errors in the ensemble Kalman filter. However, the ensemble space may not fully capture the forecast errors due to the limited ensemble size and systematic model errors,
Y.-Y. Cheng +5 more
doaj +1 more source
Identifying the evolving human imprint on heat wave trends over the United States and Mexico
Environmental Research Letters, 2021 Changes in frequency, duration and intensity of three heat wave (HW) types (compound, daytime, and nighttime) over the United States (U.S.) and Mexico during the second half of the 20th-century are investigated using the Community Earth System Model ...
Ivonne M García-Martínez +1 more
doaj +1 more source
Induced Ginibre ensemble of random matrices and quantum operations [PDF]
, 2012 A generalisation of the Ginibre ensemble of non-Hermitian random square matrices is introduced. The corresponding probability measure is induced by the ensemble of rectangular Gaussian matrices via a quadratisation procedure.
Bruzda, W. +4 more
core +2 more sources
LSEC: Large-scale spectral ensemble clustering
Intelligent Data Analysis, 2023 A fundamental problem in machine learning is ensemble clustering, that is, combining multiple base clusterings to obtain improved clustering result. However, most of the existing methods are unsuitable for large-scale ensemble clustering tasks owing to efficiency bottlenecks.
Li, Hongmin +3 more
openaire +2 more sources