Number of eigenvalues for dissipative Schrödinger operators under perturbation
Xue Ping Wang
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Solving three core challenges in transient dynamics analysis of matrix population models
Abstract Populations are at the mercy of random disturbances, large and small, and rarely, if ever, converge on predicted long‐term behaviours. Therefore, when using matrix population models, ecologists study the dynamics of populations that depart from stable distributions.
Richard A. Hinrichsen
wiley +1 more source
Convective stability of the critical waves of an FKPP-type model for self-organized growth. [PDF]
Kreten F.
europepmc +1 more source
Eigenvalues of rank one perturbations of unstructured matrices
André C. M. Ran, Michał Wojtylak
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Distance Measures for Unweighted Undirected Networks: A Comparison Study
ABSTRACT Networks are mathematical structures that allow the representation of complex systems by jointly modelling the elements of the system and the relationships that exist among them. To analyse different contexts or systems, methodological tools are necessary to allow for the quantitative estimation of the differences existing between two or more ...
Anna Simonetto, Matteo Ventura
wiley +1 more source
Applications of the Mittag-Leffler law to linear kinetic models & diffusion equations. [PDF]
Monyayi VT+2 more
europepmc +1 more source
Attitudes to possessions in emerging adults: Predictors of hoarding behaviours and beliefs
Abstract Objective Although hoarding symptoms are chronic and the average onset is late adolescence, younger cohorts have received little attention in research. Given the insidious symptom trajectory of hoarding and the unsatisfactory treatment outcomes in clinical groups, comprehensive research focusing on younger participants may reveal insights and ...
Enes Kartal+2 more
wiley +1 more source
Analysis of mean-field models arising from self-attention dynamics in transformer architectures with layer normalization. [PDF]
Burger M+4 more
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Refined Bounds on the Number of Distinct Eigenvalues of a Matrix After Perturbation
Wang Yun-jie, Gang Wu
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A tutorial for understanding SEM using R: Where do all the numbers come from?
Abstract Structural equation modeling (SEM) is often seen as a complex and difficult method, especially for those who want to understand how the numbers in SEM software output are actually computed. Although many open‐source SEM tools are now available—especially in the R programming environment—looking into their source code to understand the ...
Yves Rosseel, Marc Vidal
wiley +1 more source