Results 101 to 110 of about 499,810 (279)

First and second order Central Limit Theorems for the recursive computation of the invariant distribution of a Feller process

, 2018
This paper studies the convergence of empirical measures of a stochastic approximation toward the invariant distribution of a Feller process. In particular, we provide a general and abstract approach to establish Central Limit Theorems (CLT) with given ...
Pagès, Gilles, Rey, Clément
core  

Triply‐Twinned Metamaterials: Unraveling the Mechanics and Failure Pathways Through High‐Resolution XCT

Advanced Materials, EarlyView.
Triply‐twinned architected lattices transform deformation from bending to stretching of struts, delivering up to threefold increases in stiffness and strength across polymeric and metallic systems. High‐resolution synchrotron XCT and image‐based simulations reveal how meta‐grain architecture, defects, and AM build orientation govern failure pathways ...
David McArthur, George Maddison, Jaianth Vijayakumar, Paul Tafforeau, Kathy Christofidou, Peter David Lee, PJ Tan, Chu Lun Alex Leung   +7 more
wiley   +1 more source

Light‐Induced Entropy for Secure Vision

Advanced Materials, EarlyView.
This work realized a ternary true random number generator by exploiting stochastic traps emerging within multiple junction interfaces, and quantitatively validated the generation of high‐quality random numbers. Furthermore, it successfully demonstrated diverse applications, including AI‐resilient image security, thereby providing a valuable guide for ...
Juhyung Seo, Seungme Kang, Chaehyun Kim, Taehyun Park, Youngwoo Yoo, Yeong Kwon Kim, Wonjun Shin, Byung Chul Jang, Young‐Joon Kim, Hocheon Yoo   +9 more
wiley   +1 more source

Deterministic Approximation of Stochastic Evolution in Games [PDF]

This paper provides deterministic approximation results for stochastic processes that arise when finite populations recurrently play finite games.
Benaim, Michel, Weibull, Jörgen W.
core  

Bottom‐Up Programming of Cell States in Cancer Organoids with Defined Synthetic Adhesion Cues

Advanced Materials, EarlyView.
A bottom‐up biomaterial platform is developed to program transcriptomic states in pancreatic cancer organoids by tuning adhesion cues within synthetic matrices. By combining a Design of Experiments framework with multiobjective optimization, matrix compositions are identified that enrich specific cellular programs like EMT.
Ali Nadernezhad, Verena J. Kast, Dagmar Pette, Franziska Baenke, Daniel E. Stange, Carsten Werner, Daniela Loessner   +6 more
wiley   +1 more source

Multivariate Adaptive Stochastic Approximation

The Annals of Statistics, 1987
A multivariate version of the adaptive stochastic approximation procedure of Robbins-Monro type developed recently by \textit{T. L. Lai} and \textit{H. Robbins} [Proc. Natl. Acad. Sci. USA 75, 586-587 (1978; Zbl 0374.62084), ibid. 76, 3065-3067 (1979; Zbl 0414.62064), and Ann. Stat. 7, 1196-1221 (1979; Zbl 0426.62059)] is investigated.
openaire   +3 more sources

ON STOCHASTIC APPROXIMATION [PDF]

ETS Research Bulletin Series, 1970
ABSTRACTThis paper deals with a stochastic process for the approximation of the root of a regression equation. This process was first suggested by Robbins and Monro [1].The main result here is a necessary and sufficient condition on the iteration coefficients for convergence of the process (convergence with probability one and convergence in the ...
openaire   +1 more source

Universal Conductance Fluctuations in Quantum Anomalous Hall Insulators

Advanced Materials, EarlyView.
Universal conductance fluctuations are observed in mesoscopic quantum anomalous Hall insulators. Two distinct fluctuation patterns are identified, arising from different interference processes of bulk and chiral edge states, respectively. These findings unveil rich quantum interference phenomena in quantum anomalous Hall insulators and provide insights
Peng Deng, Peng Zhang, Gang Qiu, Ting‐Hsun Yang, Chang Niu, Yaochen Li, Wenqiang Cui, Yang Feng, Peide D. Ye, Ke He, Kai Chang, Kang L. Wang   +11 more
wiley   +1 more source

Learning-Augmented Quasi-Gradient Operators for Constrained Optimization: A Contraction–Bias–Variance Decomposition

Mathematics
This paper develops a rigorous operator-theoretic framework for learning-augmented quasi-gradient methods in constrained optimization. We consider the minimization of an objective function over a closed convex feasible set, where feasibility is enforced ...
Gilberto Pérez-Lechuga, Marco Antonio Coronel García, Ana Lidia Martínez Salazar   +2 more
doaj   +1 more source

A regression Monte-Carlo method for Backward Doubly Stochastic Differential Equations

, 2011
This paper extends the idea of E.Gobet, J.P.Lemor and X.Warin from the setting of Backward Stochastic Differential Equations to that of Backward Doubly Stochastic Differential equations.
Aboura, Omar
core   +1 more source