Results 11 to 20 of about 45,742 (207)
An Augmented Lagrangian Algorithm for Solving Semiinfinite Programming [PDF]
We present a smooth augmented Lagrangian algorithm for semiinfinite programming (SIP). For this algorithm, we establish a perturbation theorem under mild conditions.
Qian Liu, Changyu Wang
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Augmented Lagrangian Adversarial Attacks [PDF]
ICCV 2021 (Poster).
Rony, Jérôme +3 more
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Online Spatiotemporally Constrained Reconstruction for Real-Time Interactive MRI. [PDF]
ABSTRACT Purpose To develop a low‐latency dynamic MRI reconstruction that provides better spatial and temporal fidelity than contemporary online reconstruction, for localization. Methods We utilize online spatiotemporally constrained reconstruction (STCR) using a computationally efficient augmented Lagrangian solution and a limited number of iterations
Le DH +4 more
europepmc +2 more sources
Augmentations and immersed Lagrangian fillings
AbstractFor a Legendrian link with or , immersed exact Lagrangian fillings of can be lifted to conical Legendrian fillings of . When is embedded, using the version of functoriality for Legendrian contact homology (LCH) from Pan and Rutherford [J. Symplectic Geom. 19 (2021), no.
Pan, Yu, Rutherford, Dan
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The maintenance of power system equipment, specifically, the maintenance of generating units, is implicitly related to the reliability and economic operation of the power system.
M.R. Qader
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Lagrange optimality system for a class of nonsmooth convex optimization [PDF]
In this paper, we revisit the augmented Lagrangian method for a class of nonsmooth convex optimization. We present the Lagrange optimality system of the augmented Lagrangian associated with the problems, and establish its connections with the standard ...
Jin, Bangti, Takeuchi, Tomoya
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Parallel and distributed Machine Learning on Augmented Lagrangian Algorithms [PDF]
Constrained optimization is central to large-scale machine learning, particularly in parallel and distributed environments. This paper presents a comprehensive study of augmented Lagrangian–based algorithms for such problems, including classical ...
Anthony Nwachukwu, Andrzej Karbowski
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We adopt the alternating direction search pattern method to solve the equality and inequality constrained nonlinear optimization problems. Firstly, a new augmented Lagrangian function with a nonlinear complementarity function is proposed to transform the
Aifen Feng +3 more
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Solving the TSP by the AALHNN algorithm
It is prone to get stuck in a local minimum when solving the Traveling Salesman Problem (TSP) by the traditional Hopfield neural network (HNN) and hard to converge to an efficient solution, resulting from the defect of the penalty method used by the HNN.
Yun Hu, Qianqian Duan
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A primal-dual augmented Lagrangian [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gill, Philip E., Robinson, Daniel P.
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