Results 131 to 140 of about 63,696 (324)
Results of von Neumann analyses for reproducing kernel semi-discretizations [PDF]
M Christon, Thomas E. Voth
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Convergence Order of the Reproducing Kernel Method for Solving Boundary Value Problems
In this paper, convergence rate of the reproducing kernel method for solving boundary value problems is studied. The equivalence of two reproducing kernel spaces and some results of adjoint operator are proved.
Zhihong Zhao, Yingzhen Lin, Jing Niu
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Optimal Approximation in Hilbert Spaces with Reproducing Kernel Functions [PDF]
F. M. Larkin
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Learnability in Hilbert Spaces with Reproducing Kernels [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Applications of QSPR and Machine Learning in Molecular Photonics
Quantitative structureproperty relationships (QSPR) and machine learning (ML) are transforming photochemistry by enabling pre‐synthetic screening of photoactive molecules. This review outlines advances in data‐driven discovery of optical materials and functional dyes, identifies effective descriptors and models for photophysical processes, and provides
Andrey A. Buglak +2 more
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Spatiotemporally Resolved Light Propagation in Transparent Wood
Light propagation mechanism changes from diffusive regime in native, white and delignified wood to near ballistic in transparent wood. Abstract Transparent wood biocomposite (TW) is a sustainable optical material that combines high transmittance with mechanical strength but also exhibits pronounced haze. This haze limits applications where high optical
Ravi Shanker +4 more
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CR-microfunctions and the Henkin-Ramirez reproducing kernel [PDF]
Shinichi Tajima
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Cloaking and Antennas: From Theoretical Paradigms to Next‐Generation Intelligent Systems
The inception of electromagnetic cloaking sparked an immediate question: Can antennas be made invisible? Two decades later, this review charts the intertwined progress of major cloaking strategies (from transformation optics to scattering cancellation), metasurface technology, and their application to antennas, revealing how AI‐enabled devices are ...
Helen Guo, Xun Li
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Excitonic Anisotropy in Single‐Crystalline 2D Silver Phenylchalcogenides
Using a combination of ab initio theory and optical micro‐spectroscopy, in‐plane anisotropy of multiple delocalized excitons in 2D silver phenylchalcogenides (AgEPh; E = S, Se, Te) is predicted and characterized. Cryogenic reflectance micro‐spectroscopy further reveals the fine structure of excitonic bands in AgSePh.
Woo Seok Lee +9 more
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Some Notes on Error Analysis for Kernel Based Regularized Interpolation
Kernel based regularized interpolation is one of the most important methods for approximating functions. The theory behind the kernel based regularized interpolation is the well-known Representer Theorem, which shows the form of approximation function in
Qing Zou
doaj

