Results 131 to 140 of about 14,349 (287)
New Three –Term CG-Method for Unconstrained Optimization [PDF]
, 2013 Ban Ahmed Mitras, Nada F. Hassan
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International Journal of Mechanical System Dynamics, EarlyView.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
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Efficient Conversion of Bayesian Network Learning into Quadratic Unconstrained Binary Optimization. [PDF]
, 2020 Yuta Shikuri
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A Three-term Conjugate Gradient Method with a Random Parameter for Large-scale Unconstrained Optimization and its Application in Regression Model [PDF]
, 2023 Yueting Yang +3 more
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Assortment Planning in Omnichannel Retailing Under Product Returns and Showcase Capacity
Naval Research Logistics (NRL), EarlyView.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
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Optimal Control Applications and Methods, EarlyView.Optimal control combines state and adjoint equations, which yield the state (x$$ x $$) and adjoint (lambda) variables as a function of the control variables (u$$ u $$). This structure allows us to design strategies for iteratively updating the control variable, based on conjugate gradient (CG) or GMRES algorithms.
N. Armengou‐Riera +4 more
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Full Convergence of Regularized Methods for Unconstrained Optimization [PDF]
Andrea Cristofari
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New Subspace Method for Unconstrained Derivative-Free Optimization [PDF]
, 2023 Morteza Kimiaei +2 more
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Oikos, EarlyView.Habitat‐modifying plants engineer landscapes through plant‐environment feedbacks. The strength of these feedbacks is determined by above‐ and below‐ground traits shaping landscape morphology. Besides interspecific differences, recent findings highlight that intraspecific trait variation, such as shoot density, can also influence landscape morphology ...
Solveig Höfer +9 more
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An Improved Quantum-Behaved Particle Swarm Optimization Algorithm with Elitist Breeding for Unconstrained Optimization. [PDF]
Comput Intell Neurosci, 2015 Yang ZL, Wu A, Min HQ.
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