Preconditioning ideas for the Augmented Lagrangian method
A preconditioning strategy for the Powell-Hestenes-Rockafellar Augmented Lagrangian method (ALM) is presented. The scheme exploits the structure of the Augmented Lagrangian Hessian. It is a modular preconditioner consisting of two blocks. The first one is associated with the Lagrangian of the objective while the second administers the Jacobian of the ...
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The Alternating Direction Method of Multipliers for Sufficient Dimension Reduction
The minimum average variance estimation (MAVE) method has proven to be an effective approach to sufficient dimension reduction. In this study, we apply the computationally efficient optimization algorithm named alternating direction method of multipliers
Sheng Ma, Qin Jiang, Zaiqiang Ku
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Fast X-ray CT image reconstruction using a linearized augmented Lagrangian method with ordered subsets. [PDF]
Nien H, Fessler JA.
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Biphasic finite element contact analysis of the knee joint using an augmented Lagrangian method. [PDF]
Guo H, Maher SA, Spilker RL.
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Biphasic finite element modeling of hydrated soft tissue contact using an augmented Lagrangian method. [PDF]
Guo H, Spilker RL.
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Data-driven Mori-Zwanzig modeling of Lagrangian particle dynamics in turbulent flows. [PDF]
de Wit XM +5 more
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ecg2o: a seamless extension of g2o for equality-constrained factor graph optimization. [PDF]
Abdelkarim A, Görges D, Voos H.
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ColiFormer: A Transformer-Based Codon Optimization Model Balancing Multiple Objectives for Enhanced E. coli Gene Expression. [PDF]
Baddam S +6 more
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Red Blood Cell Membrane Mechanics Using Discrete Exterior Calculus (DEC) and Optimization. [PDF]
Afas KC, Goldman D.
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Multichannel multicentroid motion-compensated single pixel imaging of a 2D arbitrarily moving rigid-body target. [PDF]
Shao C, Cao Y, Li S, Yao XR, Zhao Q.
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