Results 151 to 160 of about 130,152 (295)
An algorithm for the eigenvalue perturbation problem [PDF]
Claude-Pierre Jeannerod
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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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A Singular-Perturbation Analysis of the Burning-Rate Eigenvalue for a Two-Temperature Model of Deflagrations in Confined Porous Energetic Materials [PDF]
Stephen B. Margolis, M.R. Baer
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This study explores how magnetic field and temperature influence excess minority carrier density in a radial‐junction silicon solar cell. Using an analytical model based on Bessel functions, key trends are revealed, including thermal insensitivity in a specific magnetic field range.
Moussa Ouedraogo+4 more
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Accurate modal perturbation in non‐self‐adjoint eigenvalue problem [PDF]
X. L. Liu
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Domain Perturbations, Shift of Eigenvalues and Capacity
The notion of capacity is a useful tool in measuring the magnitude of the shift of the spectral bound for the Laplace operator in \(L^{2}(\Omega)\) \((\Omega\subset R^{d}\) or a Riemannian manifold) at the domain perturbation [\textit{M. Flucher}, J. Math. Anal. Appl. 193, No. 1, 169-199 (1995; Zbl 0836.35105)].
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Optimal adaptive reinforcement learning control using an actor‐critic architecture. The controller learns optimal control policies online from data measured along the trajectories of a plug flow system ABSTRACT This article is devoted to optimal adaptive control for a distributed parameter convection‐reaction system by reinforcement learning (RL ...
Abdellaziz Binid, Ilyasse Aksikas
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Enhanced Cuckoo Search for Model Order Reduction ABSTRACT This article presents a critical review of classical and modern pole clustering techniques for model order reduction in high‐order systems. It highlights key limitations and common pitfalls encountered in traditional approaches, especially when extended to Multi‐Input Multi‐Output (MIMO) systems.
Kamel Ben Slimane+2 more
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An analyticity result for the dependence of multiple eigenvalues and eigenspaces of the laplace operator upon perturbation of the domain [PDF]
Pier Domenico Lamberti+1 more
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Coadaptation shapes ecological interactions in mixotroph‐resource systems
Mixotrophs combining autotrophy and heterotrophy are ubiquitous in aquatic environments and significantly influence ecosystem functioning. Mixotrophs may adapt their nutritional mode in response to selection, becoming more heterotrophic or more autotrophic over time.
Xiaoxiao Li+7 more
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