Results 131 to 140 of about 13,755 (295)
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
A rank-one fitting algorithm for unconstrained optimization problems
Yifan Xu, Chunli Liu, June Dong
openalex +1 more source
Assortment Planning in Omnichannel Retailing Under Product Returns and Showcase Capacity
ABSTRACT We investigate the assortment planning decisions of a retailer that operates an online sales channel and a brick‐and‐mortar store. We explicitly investigate the impact of product returns, which is a norm in modern retailing and a factor for lost profit.
Amin Aslani, Osman Alp
wiley +1 more source
Metal‐organic frameworks, quantum dots and their composite are used as electrochemical sensors at the surface of a gold electrode for bisphenol A (BPA) determination. Electrochemical response of the composite modified gold electrode shows excellence performance with a very low detection limit.
Solomon O. Oloyede, Peter A. Ajibade
wiley +1 more source
Shifted limited-memory variable metric methods for large-scale unconstrained optimization
Jan Vlček, Ladislav Lukšan
openalex +1 more source
The Changing Face of Dystonia—Enhancing Diagnosis by Moving Beyond Traditional Clinical Phenotyping
Movement Disorders Clinical Practice, EarlyView.
Niroshan Jeyakumar, Kishore R. Kumar
wiley +1 more source
Systematic Parameter Selection for Short Fiber Polymer Composite Direct Fiber Simulation
Interactions of individually simulated fibers are systematically calibrated such that their orientation history agrees with the results from analytical orientation models. ABSTRACT The orientation of fibers in short discontinuous fiber reinforced polymer composites is a critical factor in determining final mechanical and thermal properties.
Jason B. Pierce, Douglas E. Smith
wiley +1 more source
A NEW NONLINEAR CONJUGATE GRADIENT METHOD FOR UNCONSTRAINED OPTIMIZATION
Hiroshi Yabe, Naoki Sakaiwa
openalex +2 more sources
Nuclear Physics in the Era of Quantum Computing and Quantum Machine Learning
The use of QML in the realm of nuclear physics at low energy is almost nonexistent. Three examples of the use of quantum computing and quantum machine in nuclear physics are presented: the determination of the phase/shape in nuclear models, the calculation of the ground state energy, and the identification of particles in nuclear physics experiments ...
José‐Enrique García‐Ramos +4 more
wiley +1 more source
Statistical Complexity of Quantum Learning
The statistical performance of quantum learning is investigated as a function of the number of training data N$N$, and of the number of copies available for each quantum state in the training and testing data sets, respectively S$S$ and V$V$. Indeed, the biggest difference in quantum learning comes from the destructive nature of quantum measurements ...
Leonardo Banchi +3 more
wiley +1 more source

