Results 61 to 70 of about 271,753 (311)
A decomposition-based warm-start method for stochastic programming
In this paper we propose a warm-start technique for interior point methods applicable to multi-stage stochastic linear programming problems. The main idea is to generate an initial point by decomposing the problem at the second stage and using an ...
Colombo, Marco +3 more
core +1 more source
Application of Finite Volume Method to Structural Stochastic Dynamics
The stochastic dynamic problems were becoming more difficult after considering the influences of stochastic factors and the complexity of the dynamic problems.
Weidong Chen +4 more
doaj +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
This review highlights advances in lightweight, lead‐free polymer nanocomposites for diagnostic X‐ray shielding. By linking filler chemistry, dispersion, architecture, and photon interaction mechanisms, it establishes structure–performance relationships guiding material design.
Aklilu G. Messele +2 more
wiley +1 more source
A Model-Based Stochastic Augmented Lagrangian Method for Online Stochastic Optimization
In this paper, we focus on online stochastic optimization problems in which random parameters follow time-varying distributions. In each round t, a decision is obtained from solving the current optimization problem.
Zewei Wang, Dan Xue, Yujia Zhai, Cong Li
doaj +1 more source
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi +3 more
wiley +1 more source
Stochastic Intermediate Gradient Method for Convex Problems with Stochastic Inexact Oracle
In this paper, we introduce new methods for convex optimization problems with stochastic inexact oracle. Our first method is an extension of the Intermediate Gradient Method proposed by Devolder, Glineur and Nesterov for problems with deterministic ...
Dvurechensky, Pavel, Gasnikov, Alexander
core +1 more source
Bearing fault diagnosis by stochastic resonance method in periodical potential system
In industrial production, bearings are widely used in rotating machinery. Bearing fault diagnosis plays an important role in preventing disasters and protecting lives and properties.
ZHANG Jing-ling +4 more
doaj +1 more source
Experimental Characterization of Mycelium‐Based Composites Under Multiple Loading Conditions
This study examines the mechanical response of mycelium‐based composites under compression, shear, and tension using mechanical testing and imaging methods. The comparison between unpressed and hot‐pressed specimens shows that hot pressing is associated with higher compression and shear stiffnesses.
Shaghayegh Elahi +5 more
wiley +1 more source
Stochastic time–frequency-entropy feature extraction method [PDF]
Entropy-based feature extraction methods have shown marked effectiveness across various fields. However, entropy measures are susceptible to noise interference and typically consider only time-domain information, which leads to suboptimal feature ...
Yuxing Li, Jingyi Li, Qingxu Wang
doaj +1 more source

