Results 141 to 150 of about 193,463 (332)

The feasibility principle in community ecology

Oikos, EarlyView.
The structure and function of ecological communities emerge from interactions among populations within specific environmental contexts. Yet we still lack general principles that explain how communities assemble, which patterns we should expect, and when transitions occur across diverse settings.
Serguei Saavedra
wiley   +1 more source

Array Geometry-Invariant Space-Time Opportunistic Null-Space Communications

IEEE Access
This work studies the impact of the array geometry on a space-time extension of a generalized class of null-space precoding format denoted as $\pi $ -waveforms (Projection-Invariant waveforms), which exhibit subspace invariance and robustness to ...
Jordi Borras, Gregori Vazquez
doaj   +1 more source

Amenability of locally compact groups, subspaces and sets of invariant means

, 1990
Tianxuan Miao
openalex   +1 more source

Criterion of analytic continuability of functions in principal invariant subspaces on convex domains in $\mathbb{C}^{n}$ [PDF]

, 2011
Александр Сергеевич Кривошеев
openalex   +1 more source

Reduced‐Order Modeling of Energetic Materials Using Physics‐Aware Recurrent Convolutional Neural Networks in a Latent Space (LatentPARC)

Propellants, Explosives, Pyrotechnics, EarlyView.
Physics‐Aware Recurrent Convolutional Neural Networks (PARC) can reliably learn the thermomechanics of energetic materials as a function of morphology. This work introduces LatentPARC, which accelerates PARC by modeling the dynamics in a low‐dimensional latent space.
Zoë J. Gray, Joseph B. Choi, Youngsoo Choi, H. Keo Springer, H. S. Udaykumar, Stephen S. Baek   +5 more
wiley   +1 more source

Beurling’s theorem and invariant subspaces for the shift on Hardy spaces [PDF]

, 2007
ZhiJian Qiu
openalex   +1 more source

A structurally localized ensemble Kalman filtering approach

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We derive an inherently localized ensemble Kalman filtering (EnKF) approach, avoiding the need for any auxiliary localization technique. The idea is to first use the variational Bayesian optimization to approximate the (continuous) state analysis probability density function (pdf) by a product of independent marginal pdfs corresponding to small ...
Boujemaa Ait‐El‐Fquih, Ibrahim Hoteit   +1 more
wiley   +1 more source

Invariant subspaces of super left-commutants [PDF]

, 2008
Hailegebriel E. Gessesse
openalex   +1 more source

Hybrid physics–data‐driven modeling for sea ice thermodynamics and transfer learning

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Icepack–NN, a machine‐learning‐based hybrid version of the sea‐ice column model Icepack, is developed to correct state‐dependent forecast errors arising from misspecified snow thermodynamics, using neural networks applied online within the physical model.
G. De Cillis, A. Carrassi, J. Brajard, L. Bertino, M. Broccoli, D. Iovino, T.S. Finn, M. Bocquet   +7 more
wiley   +1 more source

On Invariant Subspaces of Subdecomposable Operators [PDF]

, 2018
Junfeng Liu, Songxiao Li
openalex   +1 more source