Results 61 to 70 of about 57,585 (308)

Three nontrivial solutions for the p-Laplacian Neumann problems with a concave nonlinearity near the origin [PDF]

open access: yes, 2010
We consider a nonlinear Neumann problem driven by the p- Laplacian, with a right-hand side nonlinearity which is concave near the origin. Using variational techniques, combined with the method of upper-lower solutions and with Morse theory, we show ...
Staicu, Vasile   +2 more
core   +1 more source

Two‐Dimensional Isotropic Spatial Differentiation Through Complete Polarization Control

open access: yesAdvanced Optical Materials, EarlyView.
This work enables two‐dimensional isotropic spatial differentiation at planar interfaces over a wide range of incident angles by extending the output polarization from linear to elliptical. The choice of incident angle can be used to balance broader spectral response at low angles and higher edge‐detection efficiency at larger angles.
Doyoon Lee, Minkyung Kim
wiley   +1 more source

More on Spectral Analysis of Signed Networks

open access: yesComplexity, 2018
Spectral graph theory plays a key role in analyzing the structure of social (signed) networks. In this paper we continue to study some properties of (normalized) Laplacian matrix of signed networks. Sufficient and necessary conditions for the singularity
Guihai Yu, Hui Qu
doaj   +1 more source

Radial symmetry for a generalized nonlinear fractional p-Laplacian problem

open access: yesNonlinear Analysis, 2021
This paper first introduces a generalized fractional p-Laplacian operator (–Δ)sF;p. By using the direct method of moving planes, with the help of two lemmas, namely decay at infinity and narrow region principle involving the generalized fractional p ...
Wenwen Hou   +3 more
doaj   +1 more source

Harmonic analysis associated with a discrete Laplacian [PDF]

open access: yes, 2017
It is well known that the fundamental solution of ut(n,t)=u(n+1,t)−2u(n,t)+u(n−1,t),n∈ℤ, with u(n, 0) = δnm for every fixed m ∈ Z is given by u(n, t) = e−2tIn−m(2t), where Ik(t) is the Bessel function of imaginary argument.
Torrea, J.L. [0000-0002-3119-6865]   +9 more
core   +1 more source

Prior Expectations Bias Confidence Judgments Through Parietal Alpha‐Band Modulation

open access: yesAdvanced Science, EarlyView.
ABSTRACT Humans possess the metacognitive ability to estimate the likely accuracy of their own decisions through confidence judgments. Yet, whether prior information shapes confidence and the neural mechanisms mediating such influence, remain to be determined.
Luca Tarasi   +4 more
wiley   +1 more source

Laplacian energy and first Zagreb index of Laplacian integral graphs

open access: yesAnalele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2022
The set Si,n = {0, 1, 2, …, i − 1, i + 1, …, n − 1, n}, 1 ⩽ i ⩽ n, is called Laplacian realizable if there exists a simple connected undirected graph whose Laplacian spectrum is Si,n. The existence of such graphs was established by S. Fallat et all.
Hameed Abdul   +2 more
doaj   +1 more source

On the eigenvectors of p-Laplacian [PDF]

open access: yesMachine Learning, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dijun Luo   +3 more
openaire   +2 more sources

On Laplacian eigenvalues of connected graphs [PDF]

open access: yes, 2015
summary:Let $G$ be an undirected connected graph with $n$, $n\ge 3$, vertices and $m$ edges with Laplacian eigenvalues $\mu _1\ge \mu _2 \ge \cdots \ge \mu _{n-1}>\mu _n =0$. Denote by $\mu _I =\mu _{r_1}+\mu _{r_2} +\cdots +\mu _{r_k}$, $1\le k\le n-2$,
Milovanović, Emina I.   +2 more
core   +1 more source

STAID: A Self‐Refining Deep Learning Framework for Spatial Cell‐Type Deconvolution with Biologically Informed Modeling

open access: yesAdvanced Science, EarlyView.
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu   +5 more
wiley   +1 more source

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