Results 71 to 80 of about 21,260,567 (325)
Noncommutative geometry and stochastic processes
The recent analysis on noncommutative geometry, showing quantization of the volume for the Riemannian manifold entering the geometry, can support a view of quantum mechanics as arising by a stochastic process on it. A class of stochastic processes can be
A Dimakis +13 more
core +1 more source
Setup‐Optimized Sequencing in Job Shops: Modeling Workstation Productivity and Lateness Behavior
Setup‐optimized sequencing in job‐shop production creates a trade‐off between productivity improvement and schedule reliability. A WIP‐explicit modeling framework links sequencing‐induced productivity gains and lateness dispersion through the production operating curve.
Friederike Stefanowski +2 more
wiley +1 more source
Economic Disposal Quantity of Leftovers kept in storage: a Monte Carlo simulation method
This article describes how to reach an item’s threshold, or in other words, the limit time for it to be retrieved from stock and sold for a different use, as well as the remaining foreseen period for this situation to occur.
Assis R. +3 more
doaj +1 more source
Branching Process in a Stochastic Extremal Model
We considered a stochastic version of the Bak-Sneppen model (SBSM) of ecological evolution where the the number $M$ of sites mutated in a mutation event is restricted to only two. Here the mutation zone consists of only one site and this site is randomly
Manna, S. S.
core +1 more source
Deterministic Detection of Single Ion Implantation
Focused ion beam implantation with high detection efficiencies will enable the rapid and scalable fabrication of advanced spin‐based technologies such as qubits. This work presents the detection efficiencies of a wide range of ions implanted into solid‐state hosts, with efficiencies of >90% recorded for ion species and substrate combinations of ...
Mason Adshead +6 more
wiley +1 more source
Pseudo-dynamic simulations applied to ball mill grinding circuit using population balance model and Monte Carlo Method [PDF]
Process simulations can be used to improve grinding circuit performance, which efficiently reduces operating costs. The population balance model (PBM) is widely accepted for grinding modeling because it can reproduce breakage events in tumbling mills, as
Jose Guilherme de Abreu Valadares +2 more
doaj +1 more source
Aumann Type Set-valued Lebesgue Integral and Representation Theorem [PDF]
n this paper, we shall firstly illustrate why we should discuss the Aumann type set-valued Lebesgue integral of a set-valued stochastic process with respect to time t under the condition that the set-valued stochastic process takes nonempty compact ...
Jungang Li, Shoumei Li
doaj +1 more source
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
Transforms of Stochastic Processes
In this note, the notion of an optimal transform of a (discrete parameter) stochastic process is introduced. Such transforms are shown to exist in certain cases, and a relationship to optimal stopping times is discussed. These ideas lead naturally to the representation of any given stochastic process as the transform of a submartingale.
openaire +3 more sources
Stochastic Light-Cone CTMRG: a new DMRG approach to stochastic models
We develop a new variant of the recently introduced stochastic transfer-matrix DMRG which we call stochastic light-cone corner-transfer-matrix DMRG (LCTMRG).
A Gendiar +20 more
core +2 more sources

