Results 61 to 70 of about 38,694 (221)

Real-Time Remaining Useful Life Prediction of Cutting Tools Using Sparse Augmented Lagrangian Analysis and Gaussian Process Regression

open access: yesSensors, 2022
Remaining useful life (RUL) of cutting tools is concerned with cutting tool operational status prediction and damage prognosis. Most RUL prediction methods utilized different features collected from different sensors to predict the life of the tool.
Xiao Qin   +4 more
doaj   +1 more source

Phosphoryl Halogen and Hydrogen Bonding Controls the Solid‐State Structures of Aryl Halide‐Containing Phosphonates

open access: yesEuropean Journal of Inorganic Chemistry, EarlyView.
Intramolecular (RO)2PO→Halogen interaction versus intermolecular (RO)2PO···HOH hydrogen bonds. Although the O···I distance is shorter than the sum of the van der Waals radii of the atoms involved, there is no covalency involved in this interaction.
David Mross   +6 more
wiley   +1 more source

PolSAR Image Classification Method Based on Markov Discriminant Spectral Clustering

open access: yesLeida xuebao, 2019
Due to the existing spectral clustering methods have low accuracy for PolSAR image classification, a Markov-based Discriminative Spectral Clustering(MDSC) method is proposed, which has the characteristics of low-rank and sparse decomposition.
ZHANG Xiangrong   +4 more
doaj   +1 more source

Coupled Fluid–Structure–Acoustic Analysis of Flow‐Induced Noise Control Using an Elastic Baffle in a Micro Channel

open access: yesEnergy Science &Engineering, EarlyView.
This research explores how fluid flow, structural movement, and sound interact in an elastic baffle system. Using a numerical approach based on the finite element method, the study analyzes how noise and vibrations change with different baffle configurations. The findings reveal that shortening the baffle by half reduces noise transmission by 9%, while
Tohid Adibi   +5 more
wiley   +1 more source

A Momentum-Based Adaptive Primal–Dual Stochastic Gradient Method for Non-Convex Programs with Expectation Constraints

open access: yesMathematics
In this paper, we propose a stochastic primal-dual adaptive method based on an inexact augmented Lagrangian function to solve non-convex programs, referred to as the SPDAM.
Rulei Qi, Dan Xue, Yujia Zhai
doaj   +1 more source

Complexity Certification of a Distributed Augmented Lagrangian Method

open access: yesIEEE Transactions on Automatic Control, 2018
IEEE Transactions on Automatic Control, August ...
Soomin Lee   +2 more
openaire   +2 more sources

On augmented Lagrangian decomposition methods for multistage stochastic programs [PDF]

open access: yesAnnals of Operations Research, 1996
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rosa, C.H., Ruszczynski, A.
openaire   +5 more sources

Low‐Carbon Optimal Scheduling of Multiple Virtual Power Plants Based on Asymmetric Nash Bargaining

open access: yesEnergy Science &Engineering, EarlyView.
ABSTRACT To effectively investigate the structural discrepancies and complementary energy characteristics among multiple virtual power plants (VPPs), and to improve the economic efficiency, low‐carbon performance, and operational reliability of the multi‐agent system, this paper proposes a low‐carbon collaborative optimal operation strategy for ...
Junjie Qiu   +5 more
wiley   +1 more source

Modified hybrid decomposition of the augmented Lagrangian method with larger step size for three-block separable convex programming

open access: yesJournal of Inequalities and Applications, 2018
The Jacobian decomposition and the Gauss–Seidel decomposition of augmented Lagrangian method (ALM) are two popular methods for separable convex programming. However, their convergence is not guaranteed for three-block separable convex programming.
Min Sun, Yiju Wang
doaj   +1 more source

A Level Set Approach to Eulerian-Lagrangian Coupling [PDF]

open access: yes, 2002
We present a numerical method for coupling an Eulerian compressible flow solver with a Lagrangian solver for fast transient problems involving fluid-solid interactions.
Arienti, Marco   +3 more
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