Results 101 to 110 of about 128,344 (265)
Truncations in the method of intermediate problems for lower bounds to eigenvalues
Two new procedures are developed for determining lower bounds to the eigenvalues of linear operators. The methods are based on the theory of semibounded self-adjoint operators in separable Hilbert space.
Bazley, Norman W.; Fox, David W.
core +1 more source
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Single‐cell Spatial Transcriptomics Analysis and Denoising Engine is introduced as a unified deep learning framework that jointly performs denoising, clustering, and gene prioritization in spatial transcriptomics. By integrating linear and nonlinear representations within a dual‐channel architecture, it improves robustness and accuracy, uncovers ...
Yaxuan Cui +11 more
wiley +1 more source
An eigenvalue problem possessing a continuous family of eigenvalues plus an isolated eigenvalue
In this paper we analyze an eigenvalue problem, involving a homogeneous Neumann boundary condition, in a smooth bounded domain. We show that the problem possesses, on the one hand, a continuous family of eigenvalues and, on the other hand, exactly one more eigenvalue which is isolated in the set of eigenvalues of the problem.
openaire +1 more source
ABSTRACT The rapid increase in older people in prison populations worldwide is generating significant health, cost, and human rights pressures on custodial systems. Compassionate release for older, frail inmates is a potentially effective response, yet little is known about public support for this approach.
Ye In (Jane) Hwang +3 more
wiley +1 more source
We applied quantitative MRI of the lower limb and automated home‐cage phenotyping to a mouse model of calpainopathy to detect early disease changes. At 15 months, calpain 3‐deficient mice showed increased water T2 values correlating with immune cell infiltration in the soleus and gastrocnemius muscles, while assessment of motor activity revealed only ...
Nicolina Südkamp +12 more
wiley +1 more source
The asymptotic behavior of nonlinear eigenvalues
In this paper we study the asymptotic behavior of eigenvalues of the weighted one dimensional p Laplace operator, by using the Prufer transformation. We found the order of growth of the kth eigenvalue, improving the remainder estimate for regular weights.
Juan Pablo Pinasco, Pinasco, Juan Pablo
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On the location of the spectrum of hypertournament matrices
Inclusion regions for the spectrum of a hypertournament matrix A are obtained, based on a complex curve that relates the real and imaginary parts of the eigenvalues. These results generalize and in certain cases improve the work of S.
Tsatsomeros, M +8 more
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Square matrices often arise in microeconomics, particularly in network models addressing applications from opinion dynamics to platform regulation. Spectral theory provides powerful tools for analyzing their properties. We present an accessible overview of several fundamental applications of spectral methods in microeconomics, focusing especially on ...
openaire +2 more sources
Microscopic universality of complex matrix model correlation functions at weak non-Hermiticity
The microscopic correlation functions of non-chiral random matrix models with complex eigenvalues are analyzed for a wide class of non-Gaussian measures.
Akemann, G, Akemann, Gernot, Akemann, G.
core +1 more source

