Results 71 to 80 of about 54,046 (227)
ABSTRACT The paper proposes a variational analysis of the 1‐hypergeometric stochastic volatility model for pricing European options. The methodology involves the derivation of estimates of the weak solution in a weighted Sobolev space. The weight is closely related to the stochastic volatility dynamic of the model.
José Da Fonseca, Wenjun Zhang
wiley +1 more source
ABSTRACT Modern engineering systems require advanced uncertainty‐aware model updating methods that address parameter correlations beyond conventional interval analysis. This paper proposes a novel framework integrating Riemannian manifold theory with Gaussian Process Regression (GPR) for systems governed by Symmetric Positive‐Definite (SPD) matrix ...
Yanhe Tao+3 more
wiley +1 more source
This study develops a moving horizon estimator for real‐time prediction of AZO nanoparticle properties during sol‐gel synthesis, integrating UV‐vis spectroscopy with a simplified PBE model via DMDc. The method accurately estimates PSD, showing strong agreement with offline data and supporting modern model‐based control to enhance synthesis quality ...
Guohui Yang+3 more
wiley +1 more source
Chan Tony F, Shen Jianhong (Jackie): Image Processing and Analysis: Variational, PDE, Wavelet, and Stochastic Methods. [PDF]
Image processing is an important component of modern technologies because human depends so much on the visual information than other creatures. Image is better than any other information form for us to perceive. Among our information about the world, 99% is perceived with our eyes [1].
openaire +2 more sources
On computational analysis via fibonacci wavelet method for investigating some physical problems
In this work, we considered wavelet analysis and the application of the Fibonacci wavelet collocation method (FWCM) for solving partial differential equations (PDEs).
Shahid Ahmed+3 more
semanticscholar +1 more source
Optimal adaptive reinforcement learning control using an actor‐critic architecture. The controller learns optimal control policies online from data measured along the trajectories of a plug flow system ABSTRACT This article is devoted to optimal adaptive control for a distributed parameter convection‐reaction system by reinforcement learning (RL ...
Abdellaziz Binid, Ilyasse Aksikas
wiley +1 more source
Mathematical Modeling of Neuroinflammation in Neurodegenerative Diseases
ABSTRACT Age‐related neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS), Alzheimer's disease (AD) and Parkinson's disease (PD) are an increasing public health concern. Whereas the pathology of these diseases is complex, chronic central inflammation, or neuroinflammation, is commonly observed across many neurodegenerative diseases ...
Alex Foster‐Powell+4 more
wiley +1 more source
A conservative numerical scheme for the multilayer shallow‐water equations on unstructured meshes
An energy‐conserving scheme is derived for the multilayer shallow water model, making use of the direct connection between energy conservation and the skew symmetry of the Poisson bracket for the model. A new mechanism is proposed to prevent layer interface outcropping.
Qingshan Chen
wiley +1 more source
A Physics‐Informed Learning Framework to Solve the Infinite‐Horizon Optimal Control Problem
ABSTRACT We propose a physics‐informed neural networks (PINNs) framework to solve the infinite‐horizon optimal control problem of nonlinear systems. In particular, since PINNs are generally able to solve a class of partial differential equations (PDEs), they can be employed to learn the value function of the infinite‐horizon optimal control problem via
Filippos Fotiadis+1 more
wiley +1 more source
A PDE-Based Image Restoration Method: Mathematical Analysis and Implementation
In this paper we present an image restoration method based on solving an elliptic partial differential equation (PDE) of the form \begin{equation*} -Δu+λ\,G(u)=f, \end{equation*} where $Δ$ denotes the Laplacian, $G(u)$ is a nonlocal operator (with the Gaussian convolution being a particular example), and $f$ is the degraded image.
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