Results 41 to 50 of about 4,592 (153)
Conversations from the Wonder Chamber: Jesse Adams Stein in conversation with Matthew Connell [PDF]
, 2011 Essay in the catalogue accompanying the exhibition"Awfully Wonderful: Science Fiction in Contemporary Art" - curated by Dr Lizzie Muller & Bec Dean.
Stein, JA
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A simple proof of Fefferman-Stein type characterization of ${\rm CMO}(\mathbb {R}^{n})$ space [PDF]
summary:We give a simple proof of Fefferman-Stein type characterization of the space ${\rm CMO}(\mathbb {R}^{n})$, that is, $f\in {\rm CMO} (\mathbb {R}^{n})$ if and only if $$ f=\phi +\sum _{j=1}^{n}R_{j}\varphi _{j}, $$ where $\phi ,\varphi _{j}\in {C_{
Guo, Qingdong, Linli, Zeqiang, Hu, Kang
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Higher-order Stein kernels for Gaussian approximation [PDF]
, 2019 International audienceWe introduce higher-order Stein kernels relative to the standard Gaussian measure, which generalize the usual Stein kernels by involving higher-order derivatives of test functions.
Fathi, Max
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An interpolation property of locally Stein sets [PDF]
, 2021 We prove that, if D is a normal open subset of a Stein space X of puredimension such that D is locally Stein at every point of ∂D n Xsg, then, for every holomorphic vector bundle E over D and every discrete subset Ʌ of D \ Xsg whose set of accumulation ...
Vâjâitu, Viorel
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Approximate C-Uniform Sampling: An Information-Theoretic and Bayesian Inference Perspective
RoboticsSampling control trajectories from standard distributions—a foundation for Model Predictive Control (MPC) and Model Predictive Path Integral (MPPI) methods—although probabilistically complete, in practice leads to poor exploration of the configuration ...
Timur Akhtyamov +5 more
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A Stein variational Newton method [PDF]
, 2019 Stein variational gradient descent (SVGD) was recently proposed as a general purpose nonparametric variational inference algorithm [Liu & Wang, NIPS 2016]: it minimizes the Kullback-Leibler divergence between the target distribution and its approximation
Spantini, Alessio, Marzouk, Youssef M
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Bergman-Einstein metric on a Stein space with a strongly pseudoconvex boundary [PDF]
, 2020 Let $\Omega$ be a Stein space with a compact smooth strongly pseudoconvex boundary. We prove that the boundary is spherical if its Bergman metric over $\hbox{Reg}(\Omega)$ is K\"ahler-Einstein.Comment: 21 pages, comments are ...
Li, Xiaoshan, Huang, Xiaojun
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An interpolation property of locally Stein sets [PDF]
, 2019 We prove that, if D is a normal open subset of a Stein space X of puredimension such that D is locally Stein at every point of ∂D n Xsg, then, for every holomorphic vector bundle E over D and every discrete subset Ʌ of D \ Xsg whose set of accumulation ...
Vâjâitu, Viorel
core +1 more source
A uniformization theorem for Stein spaces
Complex Analysis and its Synergies, 2020 About five years ago, the authors of this article proved Cheng's conjecture: the Bergman metric of a bounded smoothly, bounded, strongly pseudoconvex domain \(\Omega\) in \({\mathbb C}^n\) is Kähler-Einstein if and only if \(\Omega\) is biholomorphic to the ball.
Huang, Xiaojun, Xiao, Ming
openaire +2 more sources
Lebesgue's Differentiation Theorems in R.I. Quasi-Banach Spaces and Lorentz Spaces Γp,w
Journal of Function Spaces and Applications, 2012 The paper is devoted to investigation of new Lebesgue's type differentiation theorems (LDT) in rearrangement invariant (r.i.) quasi-Banach spaces E and in particular on Lorentz spaces Γp,w={f:∫(f ...
Maciej Ciesielski, Anna Kamińska
doaj +1 more source