Results 51 to 60 of about 1,027,590 (285)

Brownian inventory models with convex holding cost, Part 1: Average-optimal controls

open access: yesStochastic Systems, 2014
We consider an inventory system in which inventory level fluctuates as a Brownian motion in the absence of control. The inventory continuously accumulates cost at a rate that is a general convex function of the inventory level, which can be ...
Jim Dai, Dacheng Yao
doaj   +1 more source

Functional Methods in Stochastic Systems

open access: yes, 2012
Field-theoretic construction of functional representations of solutions of stochastic differential equations and master equations is reviewed. A generic expression for the generating function of Green functions of stochastic systems is put forward ...
A.N. Vasiliev   +9 more
core   +1 more source

Multifunctional Crushing and Piezoresistive Self‐Sensing in Conductive Epoxy/CNT‐Coated Polyetherimide TPMS Lattices

open access: yesAdvanced Engineering Materials, EarlyView.
This study reports lightweight polyetherimide triply periodic minimal surfaces lattices coated with carbon nanotube‐reinforced epoxy that combine mechanical robustness with self‐sensing. The conformal coating enhances stiffness, strength and energy absorption while enabling reliable strain monitoring.
A. Triay   +3 more
wiley   +1 more source

Models with hidden regular variation: Generation and detection

open access: yesStochastic Systems, 2015
We review the notions of multivariate regular variation (MRV) and hidden regular variation (HRV) for distributions of random vectors and then discuss methods for generating models exhibiting both properties concentrating on the non-negative orthant in ...
Bikramjit Das, Sidney Ira Resnick
doaj   +1 more source

Bold Diagrammatic Monte Carlo in the Lens of Stochastic Iterative Methods

open access: yes, 2017
This work aims at understanding of bold diagrammatic Monte Carlo (BDMC) methods for stochastic summation of Feynman diagrams from the angle of stochastic iterative methods.
Li, Yingzhou, Lu, Jianfeng
core   +1 more source

Understanding the Stochastic Nature of Process Parameter Development of Blown Powder Laser Beam Directed Energy Deposition Additive Manufacturing of Pure Molybdenum

open access: yesAdvanced Engineering Materials, EarlyView.
Identified through the use of statistical design of experiments and metallographic investigation, this study exposes the stochastic origins of intergranular cracks in blown powder laser beam directed energy deposition additive manufacturing of pure molybdenum. It further demonstrates a successful crack mitigation approach with direct correlation to the
Nathaniel J. Lies   +2 more
wiley   +1 more source

Multilevel Hybrid Split-Step Implicit Tau-Leap

open access: yes, 2016
In biochemically reactive systems with small copy numbers of one or more reactant molecules, the dynamics is dominated by stochastic effects. To approximate those systems, discrete state-space and stochastic simulation approaches have been shown to be ...
Hammouda, Chiheb Ben   +2 more
core   +1 more source

Bioinspired Shape‐Memory Hook Fasteners With Programmable Interlocking and Silent Release

open access: yesAdvanced Engineering Materials, EarlyView.
Bioinspired hook fasteners made from epoxy shape‐memory polymers are shown to switch between strong, secure attachment and gentle, silent release when heated. By combining programmable geometry and material response, these adaptive fasteners outperform commercial systems in strength and noise control, enabling new solutions for robotics, medical ...
Maria I. Vallejo Ciro   +3 more
wiley   +1 more source

A two-dimensional, two-sided Euler inversion algorithm with computable error bounds and its financial applications

open access: yesStochastic Systems, 2015
In this paper we propose an inversion algorithm with computable error bounds for two-dimensional, two-sided Laplace transforms. The algorithm consists of two discretization parameters and two truncation parameters.
Ning Cai, Chao Shi
doaj   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

open access: yesAdvanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone   +11 more
wiley   +1 more source

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