Results 31 to 40 of about 42,506 (260)

Matrix averages relating to Ginibre ensembles [PDF]

open access: yesJournal of Physics A: Mathematical and Theoretical, 2009
The theory of zonal polynomials is used to compute the average of a Schur polynomial of argument $AX$, where $A$ is a fixed matrix and $X$ is from the real Ginibre ensemble. This generalizes a recent result of Sommers and Khorozhenko [J. Phys. A {\bf 42} (2009), 222002], and furthermore allows analogous results to be obtained for the complex and real ...
Forrester, Peter J., Rains, Eric M.
openaire   +3 more sources

An Approach for the Estimation of Concentrations of Soluble Compounds in E. coli Bioprocesses

open access: yesEntropy, 2023
Accurate estimations of the concentrations of soluble compounds are crucial for optimizing bioprocesses involving Escherichia coli (E. coli). This study proposes a hybrid model structure that leverages off-gas analysis data and physiological parameters ...
Deividas Masaitis   +7 more
doaj   +1 more source

Time and Ensemble Averages in Bohmian Mechanics [PDF]

open access: yesPhysica Scripta, 2004
6 ...
Aharonov, Yakir   +2 more
openaire   +3 more sources

Hydrological Model Diversity Enhances Streamflow Forecast Skill at Short‐ to Medium‐Range Timescales

open access: yesWater Resources Research, 2019
We investigate the ability of hydrological multimodel ensemble predictions to enhance the skill of streamflow forecasts at short‐ to medium‐range timescales.
Sanjib Sharma   +4 more
doaj   +1 more source

Bayesian weighting of climate models based on climate sensitivity

open access: yesCommunications Earth & Environment, 2023
Using climate model ensembles containing members that exhibit very high climate sensitivities to increasing CO2 concentrations can result in biased projections.
Elias C. Massoud   +3 more
doaj   +1 more source

Relevance of climatological background error statistics for mesoscale data assimilation

open access: yesTellus: Series A, Dynamic Meteorology and Oceanography, 2019
The relevance of climatological background error statistics for mesoscale data assimilation has been investigated with regard to basic assumptions and also with regard to the ensemble generation techniques that are applied to derive the statistics. It is
Jelena Bojarova, Nils Gustafsson
doaj   +1 more source

Crop Model Ensemble Averaging: A Large But Underappreciated Uncertainty Source for Global Crop Yield Projections Under Climate Change

open access: yesEarth's Future
Using an ensemble of crop models have been encouraged for global crop yield projections, which would, however, introduce additional uncertainty from the choice of ensemble averaging methods.
Xiaomeng Yin   +5 more
doaj   +1 more source

Effective waves for random three-dimensional particulate materials

open access: yesNew Journal of Physics, 2021
How do you take a reliable measurement of a material whose microstructure is random? When using wave scattering, the answer is often to take an ensemble average (average over time or space).
Artur L Gower, Gerhard Kristensson
doaj   +1 more source

The Calogero–Moser equation system and the ensemble average in the Gaussian ensembles [PDF]

open access: yesJournal of Physics A: Mathematical and General, 2003
From random matrix theory it is known that for special values of the coupling constant the Calogero-Moser (CM) equation system is nothing but the radial part of a generalized harmonic oscillator Schroedinger equation. This allows an immediate construction of the solutions by means of a Rodriguez relation. The results are easily generalized to arbitrary
openaire   +2 more sources

CARON – Average RMSD of NMR structure ensembles [PDF]

open access: yesBioinformation, 2009
The NMR protein structures are often deposited in the Protein Data Bank as ensembles of models that agree with the experimental restraints. Information about stereochemical variability and the molecular flexibility can be obtained by systematic comparison of all models.
Sikic Kresimir, CARUGO, OLIVIERO ITALO
openaire   +4 more sources

Home - About - Disclaimer - Privacy