Results 71 to 80 of about 1,908 (194)

Linking Biotic Interactions to Species Stability

open access: yesEcology Letters, Volume 29, Issue 4, April 2026.
We develop a unifying framework that predicts how species respond to environmental disturbances by linking species‐level stability to a single quantity: self‐regulation loss (SL). Using analytical results, simulations, and experimental protist communities, we show that SL accurately predicts both sensitivity to press disturbances and recovery from ...
Ismaël Lajaaiti   +4 more
wiley   +1 more source

Scientists' Warning on the Rapid Evolution of Parasites in the Anthropocene

open access: yesEvolutionary Applications, Volume 19, Issue 4, April 2026.
ABSTRACT Human activities are changing the natural world at an accelerating pace, and as a consequence exerting novel and often strong selection pressures on living organisms. For species with traits conferring huge inherent evolutionary potential, like parasites, the outcome may be rapid adaptive responses spanning multiple phenotypic traits. The rise
Robert Poulin   +30 more
wiley   +1 more source

A Time-Segmented SAI-Krylov Subspace Approach for Large-Scale Transient Electromagnetic Forward Modeling

open access: yesApplied Sciences
After nearly two decades of development, transient electromagnetic (TEM) 3D forward modeling technology has significantly improved both numerical precision and computational efficiency, primarily through advancements in mesh generation and the ...
Ya’nan Fan   +3 more
doaj   +1 more source

Application of data-driven model reduction techniques in reactor neutron field calculations

open access: yesNuclear Engineering and Technology
High-order harmonic techniques can be used to recreate neutron flux distributions in reactor cores using the neutron diffusion equation. However, traditional source iteration and source correction iteration techniques have sluggish convergence rates and ...
Zhaocai Xiang   +2 more
doaj   +1 more source

An Arnoldi like method for the delay eigenvalue problem

open access: yes, 2010
The method called Arnoldi is currently a very popular method to solve large-scale eigenvalue problems. The general purpose of this paper is to generalize Arnoldi to the characteristic equation of a delay-differential equation (DDE), here called a delay ...
Meerbergen, Karl   +2 more
core  

Experimental and Reduced-Order Modeling Research of Thermal Runaway Propagation in 100 Ah Lithium Iron Phosphate Battery Module

open access: yesBatteries
The thermal runaway propagation (TRP) model of energy storage batteries can provide solutions for the safety protection of energy storage systems.
Han Li   +9 more
doaj   +1 more source

Restarting for the Tensor Infinite Arnoldi method

open access: yes, 2016
An efficient and robust restart strategy is important for any Krylov-based method for eigenvalue problems. The tensor infinite Arnoldi method (TIAR) is a Krylov-based method for solving nonlinear eigenvalue problems (NEPs). This method can be interpreted as an Arnoldi method applied to a linear and infinite dimensional eigenvalue problem where the ...
Mele, Giampaolo, Jarlebring, Elias
openaire   +2 more sources

On a fast Arnoldi method for BML matrices

open access: yes, 2017
Matrices whose adjoint is a low rank perturbation of a rational function of the matrix naturally arise when trying to extend the well known Faber-Manteuffel theorem, which provides necessary and sufficient conditions for the existence of a short Arnoldi recurrence.
Beckermann, Bernhard   +2 more
openaire   +2 more sources

Improving Eigenvectors in Arnoldi's Method

open access: yes, 2007
The Ritz vectors obtained by Arnoldi's method may not be good approximations and even may not converge even if the corresponding Ritz values do. In order to improve the quality of Ritz vectors and enhance the efficiency of Arnoldi type algorithms ...
Zhongxiao Jia, Ludwig Elsner
core  

Convergence analysis and parameter estimation for the iterated Arnoldi-Tikhonov method

open access: yes
The Arnoldi-Tikhonov method is a well-established regularization technique for solving large-scale ill-posed linear inverse problems. This method leverages the Arnoldi decomposition to reduce computational complexity by projecting the discretized problem
Furchí D.   +3 more
core   +1 more source

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