Results 211 to 220 of about 128,325 (262)

Active Sampling of Interpolation Points to Identify Dominant Subspaces for Model Reduction

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 1, 15 January 2026.
ABSTRACT Model reduction is an active research field to construct low‐dimensional surrogate models of high fidelity to accelerate engineering design cycles. In this work, we investigate model reduction for linear structured systems using dominant reachable and observable subspaces.
Celine Reddig   +3 more
wiley   +1 more source

Real‐Time Optimal Control of High‐Dimensional Parametrized Systems by Deep Learning‐Based Reduced Order Models

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 1, 15 January 2026.
ABSTRACT Steering a system towards a desired target in a very short amount of time is a challenging task from a computational standpoint. Indeed, the intrinsically iterative nature of optimal control problems requires multiple simulations of the state of the physical system to be controlled. Moreover, the control action needs to be updated whenever the
Matteo Tomasetto   +2 more
wiley   +1 more source

Inconsistency Removal of Reduced Bases in Parametric Model Order Reduction by Matrix Interpolation Using Adaptive Sampling and Clustering

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 1, 15 January 2026.
ABSTRACT Parametric model order reduction by matrix interpolation allows for efficient prediction of the behavior of dynamic systems without requiring knowledge about the underlying parametric dependency. Within this approach, reduced models are first sampled and then made consistent with each other by transforming the underlying reduced bases. Finally,
Sebastian Resch‐Schopper   +2 more
wiley   +1 more source

SVD-GoRank: Recommender System Algorithm Using SVD and Gower’s Ranking

open access: yesIEEE Access
Ilham Saifudin   +3 more
openaire   +1 more source

The White Matter Hyperintensity Shape and Brain Clearance (WHIMAS) Study for Identification of Novel 7T Magnetic Resonance Imaging Markers of Cerebral Small Vessel Disease: Protocol for a Cross-Sectional Study.

open access: yesJMIR Res Protoc
Kuhn-Keller JA   +14 more
europepmc   +1 more source

Perivascular spaces, diffusion MRI markers and cognitive decline in cerebral small vessel disease. [PDF]

open access: yesCereb Circ Cogn Behav
Solé-Guardia G   +11 more
europepmc   +1 more source

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