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A Jacobian-free approximate Newton–Krylov startup strategy for RANS simulations
The favorable convergence rates of Newton–Krylov-based solution algorithms have increased their popularity for computational fluid dynamics applications.
Anil Yildirim +2 more
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Jacobian-free Newton–Krylov methods: a survey of approaches and applications
Katherine Evans
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Tracking Control of Robot Manipulators with Unknown Models: A Jacobian-Matrix-Adaption Method
IEEE Transactions on Industrial Informatics, 2018Tracking control of robot manipulators is a fundamental and significant problem in robotic industry. As a conventional solution, the Jacobian-matrix-pseudo-inverse (JMPI) method suffers from two major limitations: one is the requirement on known ...
Dechao Chen, Yunong Zhang, Shuai Li
exaly +2 more sources
ACM Transactions on Graphics, 2022
This paper introduces a framework designed to accurately predict piecewise linear mappings of arbitrary meshes via a neural network, enabling training and evaluating over heterogeneous collections of meshes that do not share a triangulation, as well as ...
Noam Aigerman +5 more
semanticscholar +1 more source
This paper introduces a framework designed to accurately predict piecewise linear mappings of arbitrary meshes via a neural network, enabling training and evaluating over heterogeneous collections of meshes that do not share a triangulation, as well as ...
Noam Aigerman +5 more
semanticscholar +1 more source
, 2020
The Levenberg-Marquardt algorithm (LMA) is generally used to solve diverse complex nonlinear least square (CNLS) problems and is one of the most used algorithms to extract equivalent electrochemical circuit (EEC) parameters from electrochemical impedance
M. Zic +3 more
semanticscholar +1 more source
The Levenberg-Marquardt algorithm (LMA) is generally used to solve diverse complex nonlinear least square (CNLS) problems and is one of the most used algorithms to extract equivalent electrochemical circuit (EEC) parameters from electrochemical impedance
M. Zic +3 more
semanticscholar +1 more source
Measurement-Based Estimation of the Power Flow Jacobian Matrix
IEEE Transactions on Smart Grid, 2016Yu Christine Chen
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Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization
European Conference on Computer Vision, 2018Deep neural networks have lately shown tremendous performance in various applications including vision and speech processing tasks. However, alongside their ability to perform these tasks with such high accuracy, it has been shown that they are highly ...
Daniel Jakubovitz, R. Giryes
semanticscholar +1 more source
Journal of Optimization Theory and Applications, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mounir El Maghri, Youssef Elboulqe
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mounir El Maghri, Youssef Elboulqe
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