Results 31 to 40 of about 59,611 (293)
Cavitation Diagnostics Based on Self-Tuning VMD for Fluid Machinery with Low-SNR Conditions
Variational mode decomposition (VMD) is a suitable tool for processing cavitation-induced vibration signals and is greatly affected by two parameters: the decomposed number K and penalty factor α under strong noise interference. To solve this issue, this
Hao Liu +3 more
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Estimation of penalty parameters for symmetric interior penalty Galerkin methods
The numerical approximation of a linear elliptic problem by the discontinuous Galerkin method is considered. Computable lower bounds for the penalty parameters are presented.
Epshteyn, Yekaterina +1 more
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An Automatic Pixel-Wise Multi-Penalty Approach to Image Restoration
This work tackles the problem of image restoration, a crucial task in many fields of applied sciences, focusing on removing degradation caused by blur and noise during the acquisition process.
Villiam Bortolotti +2 more
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Local parameter selection in the $C^0$ interior penalty method for the biharmonic equation [PDF]
The symmetric $C^0$ interior penalty method is one of the most popular discontinuous Galerkin methods for the biharmonic equation. This paper introduces an automatic local selection of the involved stability parameter in terms of the geometry of the ...
Streitberger, Julian +2 more
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High-dimensional data applications often entail the use of various statistical and machine-learning algorithms to identify an optimal signature based on biomarkers and other patient characteristics that predicts the desired clinical outcome in biomedical
Feng Hong +2 more
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Stable Discontinuous Galerkin FEM Without Penalty Parameters [PDF]
We propose a modified local discontinuous Galerkin (LDG) method for second--order elliptic problems that does not require extrinsic penalization to ensure stability. Stability is instead achieved by showing a discrete Poincaré--Friedrichs inequality for the discrete gradient that employs a lifting of the jumps with one polynomial degree higher than the
Lorenz John, Michael Neilan, Iain Smears
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Constrained and regularized system identification [PDF]
Prior knowledge can be introduced into system identification problems in terms of constraints on the parameter space, or regularizing penalty functions in a prediction error criterion.
Tor A. Johansen
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Adaptive ADMM with Spectral Penalty Parameter Selection
AISTATS ...
Zheng Xu 0002 +2 more
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Decentralized Accelerated Gradient Methods With Increasing Penalty Parameters
The previous name of this paper was "A Sharp Convergence Rate Analysis for Distributed Accelerated Gradient Methods".
Huan Li +3 more
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A Dynamic Parameter Tuning Strategy for Decomposition-Based Multi-Objective Evolutionary Algorithms
The penalty-based boundary cross-aggregation (PBI) method is a common decomposition method of the MOEA/D algorithm, but the strategy of using a fixed penalty parameter in the boundary cross-aggregation function affects the convergence of the populations ...
Jie Zheng +3 more
doaj +1 more source

