Results 81 to 90 of about 17,042 (194)
, 2018 In this article we perform an asymptotic analysis of Bayesian parallel density estimators which are based on logspline density estimation. The parallel estimator we introduce is in the spirit of a kernel density estimator introduced in recent studies. We
Conlon, Erin +2 more
core
Interpolating by functions from model subspaces in $H^1$
, 2018 Given an interpolating Blaschke product $B$ with zeros $\{a_j\}$, we seek to characterize the sequences of values $\{w_j\}$ for which the interpolation problem $$f(a_j)=w_j\qquad (j=1,2,\dots)$$ can be solved with a function $f$ from the model subspace $H^1\cap B\overline{H^1_0}$ of the Hardy space $H^1$.
openaire +2 more sources
Earth and Space Science, Volume 13, Issue 4, April 2026.Abstract To satisfy the needs of the Arctic sea ice seasonal prediction in summer, we developed the Arctic Seasonal Prediction System (ArcSPS). This system integrates an Arctic sea ice–ocean–atmosphere coupled model with an ensemble‐based Kalman Filter data assimilation model.
Zhongxiang Tian +7 more
wiley +1 more source
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.Abstract Continuous physical domains are important for scientific investigations of dynamical processes in the atmosphere. However, missing data—arising from operational constraints and adverse environmental conditions—pose significant challenges to accurate analysis and modeling.
Jiahui Hu, Wenjun Dong, Alan Z. Liu
wiley +1 more source
Interpolating subspaces in l1-spaces
Journal of Approximation Theory, 1973 Biggs, J.H +4 more
openaire +2 more sources
Acta Crystallographica Section D, Volume 82, Issue 4, Page 274-294, April 2026.A Bayesian perspective on orientation estimation in cryo‐EM is presented, with the minimum mean‐square error estimator outperforming standard cross‐correlation‐based approaches, particularly under challenging low signal‐to‐noise conditions. We demonstrate that improved orientation estimation has a decisive impact on 3D reconstruction quality and ...
Sheng Xu +3 more
wiley +1 more source
Function spaces for decoupling
Journal of the London Mathematical Society, Volume 113, Issue 4, April 2026.Abstract We introduce new function spaces LW,sq,p(Rn)$\mathcal {L}_{W,s}^{q,p}(\mathbb {R}^{n})$ that yield a natural reformulation of the ℓqLp$\ell ^{q}L^{p}$ decoupling inequalities for the sphere and the light cone. These spaces are invariant under the Euclidean half‐wave propagators, but not under all Fourier integral operators unless p=q$p=q$, in ...
Andrew Hassell +3 more
wiley +1 more source
Circle packings, renormalizations, and subdivision rules
Proceedings of the London Mathematical Society, Volume 132, Issue 4, April 2026.Abstract In this paper, we use iterations of skinning maps on Teichmüller spaces to study circle packings and develop a renormalization theory for circle packings whose nerves satisfy certain subdivision rules. We characterize when the skinning map has bounded image.
Yusheng Luo, Yongquan Zhang
wiley +1 more source
Interpolation of subspaces and applications to exponential bases
, 1999 This paper has been withdrawn by the author becouse the conjecture presented in this paper is false. The correct study of metrics in interpolation spaces for and applcation to nonharmonic Fourier series will be published in S.Petersburg Math. J. jointly with N. Kalton.
openaire +2 more sources
Homogenization With Guaranteed Bounds via Primal‐Dual Physically Informed Neural Networks
International Journal for Numerical Methods in Engineering, Volume 127, Issue 6, 30 March 2026.ABSTRACT Physics‐informed neural networks (PINNs) have shown promise in solving partial differential equations (PDEs) relevant to multiscale modeling, but they often fail when applied to materials with discontinuous coefficients, such as media with piecewise constant properties. This paper introduces a dual formulation for the PINN framework to improve
Liya Gaynutdinova +3 more
wiley +1 more source