Results 121 to 130 of about 38,694 (221)
Practical Augmented Lagrangian Methods [PDF]
Ernesto G. Birgin, J. M. MartÃnez
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Ensuring safety in autonomous driving is crucial for effective motion planning and navigation. However, most end-to-end planning methodologies lack sufficient safety measures.
De-Tian Chu +6 more
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Joint Optimization of Spectrum and Power Control in 6G Multi-UAV Networks: Managing Data Redundancy
This paper investigates the joint spectrum and energy efficiency in multimanned aerial vehicle (Multi-UAV) communication network in environments beyond the fifth generation and sixth generation (B5G / 6G), with a focus on the challenges posed by ...
Mohammad Ahmed Alnakhli
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Lagrangian Relaxation for MAP Estimation in Graphical Models
We develop a general framework for MAP estimation in discrete and Gaussian graphical models using Lagrangian relaxation techniques. The key idea is to reformulate an intractable estimation problem as one defined on a more tractable graph, but subject to ...
Johnson, Jason K. +2 more
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An Augmented Lagrangian Method for Training Recurrent Neural Networks
Recurrent Neural Networks (RNNs) are widely used to model sequential data in a wide range of areas, such as natural language processing, speech recognition, machine translation, and time series analysis. In this paper, we model the training process of RNNs with the ReLU activation function as a constrained optimization problem with a smooth nonconvex ...
Yue Wang 0102 +2 more
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MCnet: A Neural Network Method for Mean Curvature Optimization on Image Surfaces
Mean curvature is fundamentally important for various research fields, including differential geometry in mathematics, cell membrane modeling in biophysics and image processing in computer vision.
Zhili Wei, Wenming Tang, Yuanhao Gong
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Accelerated regularized estimation of MR coil sensitivities using augmented Lagrangian methods. [PDF]
Allison MJ, Ramani S, Fessler JA.
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Stochastic Augmented Lagrangian Method in Riemannian Shape Manifolds
AbstractIn this paper, we present a stochastic augmented Lagrangian approach on (possibly infinite-dimensional) Riemannian manifolds to solve stochastic optimization problems with a finite number of deterministic constraints. We investigate the convergence of the method, which is based on a stochastic approximation approach with random stopping ...
Caroline Geiersbach +2 more
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Parallel MR image reconstruction using augmented Lagrangian methods. [PDF]
Ramani S, Fessler JA.
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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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