Results 141 to 150 of about 19,149 (335)
Persistence approximation property for $L^p$ operator algebras [PDF]
Hang Wang +3 more
openalex +1 more source
Optimal model‐based design of experiments for parameter precision: Supercritical extraction case
Abstract This study investigates the process of chamomile oil extraction from flowers. A parameter‐distributed model consisting of a set of partial differential equations is used to describe the governing mass transfer phenomena in a cylindrical packed bed with solid chamomile particles under supercritical conditions using carbon dioxide as a solvent ...
Oliwer Sliczniuk, Pekka Oinas
wiley +1 more source
Full S-matrices and witten diagrams with relative L ∞ -algebras
The L ∞ -algebra approach to scattering amplitudes elegantly describes the non-trivial part of the S-matrix but fails to take into account the trivial part.
Luigi Alfonsi +4 more
doaj +1 more source
$L^p$ coarse Baum–Connes conjecture and $K$-theory for $L^p$ Roe algebras
Jianguo Zhang, Dapeng Zhou
openalex +2 more sources
A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control
Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao +2 more
wiley +1 more source
Commutators of Pre-Lie n-Algebras and PL∞-Algebras
We show that a PL∞-algebra V can be described by a nilpotent coderivation of degree −1 on coalgebra P*V. Based on this result, we can generalise the result of Lada to show that every A∞-algebra carries a PL∞-algebra structure and every PL∞-algebra ...
Mengjun Wang, Zhixiang Wu
doaj +1 more source
Dilations of semigroups on von Neumann algebras and noncommutative $\mathrm{L}^p$-spaces [PDF]
Cédric Arhancet
openalex +1 more source
A‐optimal model‐based design of experiments for processes with uncertain inputs
Abstract Model‐based design of experiments (MBDoE) techniques are tools for selecting experimental conditions that enable accurate parameter estimation for mechanistic models. Most MBDoE approaches assume that the selected experimental conditions will be implemented perfectly, without uncertainties in the independent variables.
Bright Ofori +3 more
wiley +1 more source
L 2 -Invariants from the Algebraic Point of View [PDF]
Wolfgang Lück, Fachbereich Mathematik
openalex
Asymptotic properties of cross‐classified sampling designs
Abstract We investigate the family of cross‐classified sampling designs across an arbitrary number of dimensions. We introduce a variance decomposition that enables the derivation of general asymptotic properties for these designs and the development of straightforward and asymptotically unbiased variance estimators.
Jean Rubin, Guillaume Chauvet
wiley +1 more source

