Results 51 to 60 of about 2,487 (204)
An Efficient Method for Euler’s Elastica Based Image Deconvolution
IEEE Access, 2019 Variational models involving Euler's elastica energy have a wide range of applications in digital image processing. Recently, fast methods, such as the proximal-augmented Lagrangian method (PALM), have been successfully used to solve nonlinear higher ...
Samad Wali +6 more
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Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT Rocking podium isolation systems have gained significant research interest as a method of limiting seismic demands on superstructures and eliminating residual post‐earthquake drifts through self‐centring behaviour. However, while numerous models of varying complexity, including analytical, phenomenological, and physical formulations, have been
Marawan Zaki +2 more
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Complexity Certification of a Distributed Augmented Lagrangian Method
IEEE Transactions on Automatic Control, 2018 IEEE Transactions on Automatic Control, August ...
Soomin Lee +2 more
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Journal of Applied MathematicsThis paper uses an augmented Lagrangian method based on an inexact exponential penalty function to solve constrained multiobjective optimization problems. Two algorithms have been proposed in this study.
Appolinaire Tougma, Kounhinir Some
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Threshold Asymmetric Conditional Autoregressive Range (TACARR) Model
Journal of Forecasting, EarlyView.ABSTRACT This paper introduces a Threshold Asymmetric Conditional Autoregressive Range (TACARR) model for analyzing the daily price ranges of financial assets. The proposed formulation assumes that the conditional expected range switches between two regimes, representing upward and downward market states, with the disturbance distribution also allowed ...
Isuru Ratnayake, V. A. Samaranayake
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On augmented Lagrangian decomposition methods for multistage stochastic programs [PDF]
Annals of Operations Research, 1996 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rosa, C.H., Ruszczynski, A.
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AerospaceDistributed optimal design brings significant solutions for experiment optimization in complex engineering design problems. A Kriging-based augmented Lagrangian Method is proposed with the help of the Multi-fidelity Hamiltonian Kriging (MHK) surrogate ...
Shixuan Zhang, Jie Ma
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Journal of Magnetic Resonance Imaging, EarlyView.ABSTRACT Background The performance of 5D imaging in CHD has been previously demonstrated using ferumoxytol rather than gadolinium. Purpose To evaluate the performance of gadolinium enhanced 5D MRI relative to 2D and 3D MRI in CHD patients. Study Type Retrospective.
Christopher W. Roy +13 more
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A First-Order Augmented Lagrangian Method for Compressed Sensing [PDF]
SIAM Journal on Optimization, 2012 We propose a first-order augmented Lagrangian algorithm (FAL) for solving the basis pursuit problem. FAL computes a solution to this problem by inexactly solving a sequence of L1-regularized least squares sub-problems. These sub-problems are solved using an infinite memory proximal gradient algorithm wherein each update reduces to "shrinkage" or ...
Necdet S. Aybat, Garud Iyengar
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Limnology and Oceanography: Methods, EarlyView.Abstract Tailwaters are ubiquitous and highly managed ecosystems whose food webs often rely disproportionately on autochthonous energy. In situ continuous dissolved oxygen data are increasingly being used to estimate gross primary productivity and ecosystem respiration in rivers, but this approach is complicated in tailwaters, where upriver ...
Ian W. Bishop +5 more
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