Results 111 to 120 of about 11,001,635 (256)

Trump Tariffs 2.0: Assessing the Impacts on US Distilled Spirits Imports

open access: yesAgribusiness, EarlyView.
ABSTRACT The proposed 25% tariff on Mexico and Canada could have significant repercussions on US imports of distilled spirits. This study estimates US import demand across various spirit categories (e.g., tequila, whiskey) and assesses the potential impact of the proposed tariff.
Andrew Muhammad
wiley   +1 more source

Newton's method for stochastic functional differential equations

open access: yesElectronic Journal of Differential Equations, 2012
In this article, we apply Newton's method to stochastic functional differential equations. The first part concerns a first-order convergence. We formulate a Gronwall-type inequality which plays an important role in the proof of the convergence theorem
Monika Wrzosek
doaj  

Newton’s Optics

open access: yes, 2017
This article examines Isaac Newton’s contributions to the development of optics. Newton’s Opticks: Or, a Treatise of the Reflexions, Refractions, Inflexions and Colours of Light (1704) dominated the science of optics for more than a century.
Alan E. Shapiro
core   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Newton's method in the context of gradients

open access: yesElectronic Journal of Differential Equations, 2007
This paper gives a common theoretical treatment for gradient and Newton type methods for general classes of problems. First, for Euler-Lagrange equations Newton's method is characterized as an (asymptotically) optimal variable steepest descent method ...
John W. Neuberger, Janos Karatson
doaj  

Global convergence analysis of Caputo fractional Whittaker method with real world applications

open access: yesCubo
The present article deals with the effect of convexity in the study of the well-known Whittaker iterative method, because an iterative method converges to a unique solution \(t^*\) of the nonlinear equation \(\psi(t)=0\) faster when the function's ...
Sapan Kumar Nayak, P. K. Parida
doaj   +1 more source

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

open access: yesAdvanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu   +11 more
wiley   +1 more source

Fast Space-variant Phase Error Compensation and Geometric Correction for Bistatic ISAR Imaging Using a Modified Newton’s Method

open access: yesLeida xuebao
Bistatic Inverse Synthetic Aperture Radar (Bi-ISAR) has garnered significant attention in the military and civilian domains due to its superior stealth and antijamming capabilities. However, the changing bistatic angle during Bi-ISAR imaging causes space-
Jixiang FU   +6 more
doaj   +1 more source

Crystal Structure Prediction of Inorganic Materials: A Benchmark and Modern Evaluation

open access: yesAdvanced Intelligent Discovery, EarlyView.
Predicting a crystal’s structure from composition alone is a long‐standing challenge in materials discovery. The CSP180 benchmark of 180 inorganic crystals evaluates thirteen crystal structure prediction algorithms requiring no density functional theory (DFT) against DFT‐based baselines across twelve metrics.
Lai Wei   +9 more
wiley   +1 more source

Modeling Electricity Consumption using Modified Newton’s Method

open access: yes, 2014
In this paper we present modified Newton’s model (MNM) to model electricity consumption data. A previous method to model electricity consumption data was done using forecasting technique (FT) and artificial neural networks (ANN).
Sarawak Sarawak Sarawak   +3 more
core  

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