Search results for "Gauss-Newton"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
73	Spark Y. Xue, Simon X. Yang	Power system frequency estimation using Supervised Gauss-Newton algorithm.	SMC	2007	DBLP DOI BibTeX RDF
73	Xiyuan Chen	Modeling Temperature Drift of FOG by Improved BP Algorithm and by Gauss-Newton Algorithm.	ISNN (2)	2004	DBLP DOI BibTeX RDF
69	Martin Aigner 0002, Bert Jüttler	Robust fitting of implicitly defined surfaces using Gauss-Newton-type techniques.	Vis. Comput.	2009	DBLP DOI BibTeX RDF	Implicitly defined surfaces, General error function, Surface fitting, Gauss-Newton method
63	William R. Esposito, Christodoulos A. Floudas	Gauss-Newton Method: Least Squares, Relation to Newton's Method.	Encyclopedia of Optimization	2009	DBLP DOI BibTeX RDF	Least squares, Gradient methods, Gauss-Newton method
63	Roberto Andreani, José Mario Martínez, Leandro Martínez, Flávio S. Yano	Continuous optimization methods for structure alignments.	Math. Program.	2008	DBLP DOI BibTeX RDF	Protein alignment, Order-value optimization, Continuous optimization, Gauss-Newton method, Structural alignment
63	Uwe Helmke, Knut Hüper, Pei Yean Lee, John B. Moore	Essential Matrix Estimation Using Gauss-Newton Iterations on a Manifold.	Int. J. Comput. Vis.	2007	DBLP DOI BibTeX RDF	essential matrix, local quadratic convergence, stereo vision, Riemannian manifold, Newton's method
56	Dong Sik Kim, Kiryung Lee	Block-Coordinate Gauss-Newton Optimization and Constrained Monotone Regression for Image Registration in the Presence of Outlier Objects.	IEEE Trans. Image Process.	2008	DBLP DOI BibTeX RDF
56	Monica Hernandez, Salvador Olmos	Gauss-Newton optimization in Diffeomorphic registration.	ISBI	2008	DBLP DOI BibTeX RDF
56	Tong Zhao, Arye Nehorai	Information-Driven Distributed Maximum Likelihood Estimation Based on Gauss-Newton Method in Wireless Sensor Networks.	IEEE Trans. Signal Process.	2007	DBLP DOI BibTeX RDF
54	Wenping Wang, Helmut Pottmann, Yang Liu 0014	Fitting B-spline curves to point clouds by curvature-based squared distance minimization.	ACM Trans. Graph.	2006	DBLP DOI BibTeX RDF	squared distance, optimization, curve fitting, point cloud, shape reconstruction, quasi-Newton method, B-spline curve, scatter data approximation, Gauss-Newton method, least squares problem
53	W. M. Häußler	A local convergence analysis for the Gauss-Newton and Levenberg-Morrison-Marquardt Algorithms.	Computing	1983	DBLP DOI BibTeX RDF	Key word Nonlinear regression, adequate model, Levenberg-Morrison-Marquardt Algorithm, Gauss-Newton Method
50	Erich L. Kaltofen, Lihong Zhi	Hybrid symbolic-numeric computation.	ISSAC	2006	DBLP DOI BibTeX RDF	symbolic/numeric hybrid methods
50	Nicol N. Schraudolph	Fast Curvature Matrix-Vector Products.	ICANN	2001	DBLP DOI BibTeX RDF
49	Gerhard Starke	Gauss-Newton Multilevel Methods for Least-Squares Finite Element Computations of Variably Saturated Subsurface Flow.	Computing	2000	DBLP DOI BibTeX RDF	AMS Subject Classifications: 65M55, 76S05, 65M60
47	Ladislav Luksan, Ctirad Matonoha, Jan Vlcek	Algorithm 896: LSA: Algorithms for large-scale optimization.	ACM Trans. Math. Softw.	2009	DBLP DOI BibTeX RDF	discrete Newton methods, large-scale nonlinear least squares, large-scale nonlinear minimax, large-scale nonsmooth optimization, large-scale systems of nonlinear equations, limited-memory methods, partially separable problems, primal interior-point methods, sparse problems, quasi-Newton methods, Large-scale optimization
46	Weiwei Chen, Xiaopeng Wei, Tingting Zhao	Product Schemes Evaluation Method Based on Improved BP Neural Network.	ICIC (2)	2008	DBLP DOI BibTeX RDF	momentum factorial algorithm, Levengberg-Marquardt algorithm, Gauss-Newton algorithm, AHP, BP
46	Tao Feng, Mårten E. Gulliksson, Wenbin Liu	Adaptive Finite Element Methods for the Identification of Elastic Constants.	J. Sci. Comput.	2006	DBLP DOI BibTeX RDF	Gauss-Newton, Parameter estimation, least squares, finite element approximation, adaptive finite element methods
40	Martin Aigner 0002, Bert Jüttler	Gauss-Newton-type techniques for robustly fitting implicitly defined curves and surfaces to unorganized data points.	Shape Modeling International	2008	DBLP DOI BibTeX RDF
40	Dong Sik Kim, Kiryung Lee	Block-Coordinate Gauss-Newton/regression Method for Image Registration with Efficient Outlier Detection.	ICIP (1)	2007	DBLP DOI BibTeX RDF
40	Volkan Akcelik, George Biros, Omar Ghattas	Parallel multiscale Gauss-Newton-Krylov methods for inverse wave propagation.	SC	2002	DBLP DOI BibTeX RDF
36	Kenichi Kanatani, Hirotaka Niitsuma	Optimal computation of 3-D similarity: Gauss-Newton vs. Gauss-Helmert.	Comput. Stat. Data Anal.	2012	DBLP DOI BibTeX RDF
33	Annegret Hoy	A relation between Newton and Gauss-Newton steps for singular nonlinear equations.	Computing	1988	DBLP DOI BibTeX RDF
33	Francisco A. Cubillos, Gonzalo Acuña	Simulation Studies of On-Line Identification of Complex Processes with Neural Networks.	ISNN (2)	2006	DBLP DOI BibTeX RDF
33	Bogdan Dumitrescu	Optimization of two-dimensional IIR filters with nonseparable and separable denominator.	IEEE Trans. Signal Process.	2005	DBLP DOI BibTeX RDF
33	Alexander Andreopoulos, John K. Tsotsos	A Novel Algorithm for Fitting 3-D Active Appearance Models: Applications to Cardiac MRI Segmentation.	SCIA	2005	DBLP DOI BibTeX RDF
33	Martin Berger, Thomas Auer, Gernot Bachler, Stefan Scherer, Axel Pinz	3D Model Based Pose Determination in Real-Time: Strategies, Convergence, Accurac.	ICPR	2000	DBLP DOI BibTeX RDF
33	Guian Zhou, Jennie Si	Advanced neural-network training algorithm with reduced complexity based on Jacobian deficiency.	IEEE Trans. Neural Networks	1998	DBLP DOI BibTeX RDF
32	Ana M. González, José R. Dorronsoro	A Note on Conjugate Natural Gradient Training of Multilayer Perceptrons.	IJCNN	2006	DBLP DOI BibTeX RDF
30	Chengxian Xu	Nonlinear Least Squares: Newton-type Methods.	Encyclopedia of Optimization	2009	DBLP DOI BibTeX RDF	Full-step Gauss-Newton method, Local convergence rate, Global convergence, Quasi-Newton methods, Newton method, Adaptive methods
30	Chengxian Xu	Generalized Total Least Squares.	Encyclopedia of Optimization	2009	DBLP DOI BibTeX RDF	Generalized nonlinear least squares, Separable optimization, separated Newton method, Gauss-Newton method
30	Iain A. Matthews, Simon Baker	Active Appearance Models Revisited.	Int. J. Comput. Vis.	2004	DBLP DOI BibTeX RDF	Active Blobs, Gauss-Newton gradient descent, inverse compositional image alignment, efficiency, fitting, Active Appearance Models, AAMs, Morphable Models
30	Simon Baker, Iain A. Matthews	Lucas-Kanade 20 Years On: A Unifying Framework.	Int. J. Comput. Vis.	2004	DBLP DOI BibTeX RDF	Lucas-Kanade, a unifying framework, additive vs. compositional algorithms, forwards vs. inverse algorithms, the inverse compositional algorithm, Gauss-Newton, Newton, efficiency, image alignment, Levenberg-Marquardt, steepest descent
30	Sung Joon Ahn, Wolfgang Rauh, Hyung Suck Cho, Hans-Jürgen Warnecke	Orthogonal Distance Fitting of Implicit Curves and Surfaces.	IEEE Trans. Pattern Anal. Mach. Intell.	2002	DBLP DOI BibTeX RDF	orthogonal distance fitting, geometric distance, orthogonal contacting, parameter constraint, parametric model recovery, parameter estimation, implicit surface, surface fitting, curve fitting, object segmentation, object classification, object reconstruction, nonlinear least squares, implicit curve, Gauss-Newton method
30	Andrea Polesel, Giovanni Ramponi, V. John Mathews	Adaptive Unsharp Masking for Contrast Enhancement.	ICIP (1)	1997	DBLP DOI BibTeX RDF	adaptive unsharp masking, image contrast enhancement, image dynamics, noise amplification reduction, smooth areas, adaptive directional filtering, directional characteristics, high-detail areas, medium-detail areas, sharp transitions, adaptive operator, linear highpass filter, adaptive recursive two-dimensional filter, Gauss-Newton algorithm, filter coefficients, image enhancement, experimental results, adaptive algorithm, zooming, image preprocessing
24	Kin-Shing D. Cheng, Wenping Wang, Hong Qin 0001, Kwan-Yee Kenneth Wong, Huaiping Yang, Yang Liu 0014	Design and Analysis of Optimization Methods for Subdivision Surface Fitting.	IEEE Trans. Vis. Comput. Graph.	2007	DBLP DOI BibTeX RDF	squared distance, optimization, subdivision surface, fitting
24	Richard I. Hartley	Globally Optimal Solutions to Vision Using Convex and Quasi-convex Optimization.	Australian Conference on Artificial Intelligence	2007	DBLP DOI BibTeX RDF
24	Mariko Nakano-Miyatake, Héctor M. Pérez Meana	A Fast Orthogonalized FIR Adaptive Filter Structure Using Recurrent Hopfield-Like Network.	IWANN (1)	1999	DBLP DOI BibTeX RDF
23	Junjun Zhou, Ningbo Bai, Bo Han, Xiangyun Hu, Tiaojie Xiao, Guoshu Huang, Jianping Li	Gauss-Newton With Preconditioned Conjugate Gradient Magnetotelluric Inversion for 3-D Axial Anisotropic Conductivities.	IEEE Trans. Geosci. Remote. Sens.	2024	DBLP DOI BibTeX RDF
23	Qamrul Hasan Ansari, Moin Uddin, Jen-Chih Yao	Convergence of the Gauss-Newton method for convex composite optimization problems under majorant condition on Riemannian manifolds.	J. Complex.	2024	DBLP DOI BibTeX RDF
23	Felix Dangel, Lukas Tatzel, Philipp Hennig	ViViT: Curvature Access Through The Generalized Gauss-Newton's Low-Rank Structure.	Trans. Mach. Learn. Res.	2023	DBLP BibTeX RDF
23	Luis A. Arellano-Cruz, Giselle M. Galván-Tejada, Rogelio Lozano	Position Estimation using the Radical Axis Gauss Newton Algorithm: Experimental Analysis.	J. Intell. Robotic Syst.	2023	DBLP DOI BibTeX RDF
23	Yang Gou, Xin Fu, Fuqiang Wei	Broadband Impedance Matching and Residual Vibration Attenuation for Underwater Acoustic Tonpilz Transducers Based on Adaptive Gauss-Newton Algorithm.	IEEE Trans. Instrum. Meas.	2023	DBLP DOI BibTeX RDF
23	Tengfei Bi, Xiaolu Li 0001, Wenbin Chen, Tao Zhang	A Gauss-Newton Online Ranging Method Based on Saturated Waveform Compensation of LiDAR.	IEEE Trans. Instrum. Meas.	2023	DBLP DOI BibTeX RDF
23	Neil K. Chada, Marco A. Iglesias, Shuai Lu, Frank Werner 0002	On a Dynamic Variant of the Iteratively Regularized Gauss-Newton Method with Sequential Data.	SIAM J. Sci. Comput.	2023	DBLP DOI BibTeX RDF
23	Junzhu Liu, Luping Shen, Guobing Qian	Maximum Complex Correntropy Criterion Adaptive IIR Filtering Based on Gauss-Newton Approach.	IEEE Trans. Circuits Syst. II Express Briefs	2023	DBLP DOI BibTeX RDF
23	Adrian Bürger, Clemens Zeile, Angelika Altmann-Dieses, Sebastian Sager, Moritz Diehl	A Gauss-Newton-based decomposition algorithm for Nonlinear Mixed-Integer Optimal Control Problems.	Autom.	2023	DBLP DOI BibTeX RDF
23	S. Buchwald, G. Ciaramella, J. Salomon	Gauss-Newton oriented greedy algorithms for the reconstruction of operators in nonlinear dynamics.	CoRR	2023	DBLP DOI BibTeX RDF
23	Krishna Pillutla, Vincent Roulet, Sham M. Kakade, Zaïd Harchaoui	Modified Gauss-Newton Algorithms under Noise.	CoRR	2023	DBLP DOI BibTeX RDF
23	Michael Arbel	Rethinking Gauss-Newton for learning over-parameterized models.	CoRR	2023	DBLP DOI BibTeX RDF
23	Qingping Zhou, Guixian Xu, Zhexin Wen, Hongqiao Wang	Anderson Accelerated Gauss-Newton-guided deep learning for nonlinear inverse problems with Application to Electrical Impedance Tomography.	CoRR	2023	DBLP DOI BibTeX RDF
23	Wenrui Hao, Qingguo Hong, Xianlin Jin, Yiran Wang	Gauss Newton method for solving variational problems of PDEs with neural network discretizaitons.	CoRR	2023	DBLP DOI BibTeX RDF
23	Vincent Roulet, Mathieu Blondel	Dual Gauss-Newton Directions for Deep Learning.	CoRR	2023	DBLP DOI BibTeX RDF
23	Zhifa Ke, Zaiwen Wen, Junyu Zhang	Provably Efficient Gauss-Newton Temporal Difference Learning Method with Function Approximation.	CoRR	2023	DBLP DOI BibTeX RDF
23	Nazanin Abedini, Svetlana Dubinkina	Convergence properties of a Gauss-Newton data-assimilation method.	CoRR	2023	DBLP DOI BibTeX RDF
23	Kemeng Huang, Floyd M. Chitalu, Huancheng Lin, Taku Komura	Fast and stable Gauss-Newton optimization of IPC barrier energy.	CoRR	2023	DBLP DOI BibTeX RDF
23	Xiaoqian Liu, Xu Han, Eric C. Chi, Boaz Nadler	A Majorization-Minimization Gauss-Newton Method for 1-Bit Matrix Completion.	CoRR	2023	DBLP DOI BibTeX RDF
23	Ali Gholami	An extended Gauss-Newton method for full waveform inversion.	CoRR	2023	DBLP DOI BibTeX RDF
23	Andrea Ghezzi, Jasper Hoffmann, Jonathan Frey, Joschka Boedecker, Moritz Diehl	Imitation Learning from Nonlinear MPC via the Exact Q-Loss and its Gauss-Newton Approximation.	CoRR	2023	DBLP DOI BibTeX RDF
23	Juze Zhang, Ye Shi 0001, Yuexin Ma, Lan Xu, Jingyi Yu, Jingya Wang	IKOL: Inverse kinematics optimization layer for 3D human pose and shape estimation via Gauss-Newton differentiation.	CoRR	2023	DBLP DOI BibTeX RDF
23	Siyun Zhou, Xin Liu 0001, Liwei Xu	Stochastic Gauss-Newton Algorithms for Online PCA.	J. Sci. Comput.	2023	DBLP DOI BibTeX RDF
23	Alessandro Buccini, Patricia Diaz de Alba, Federica Pes, Lothar Reichel	An Efficient Implementation of the Gauss-Newton Method Via Generalized Krylov Subspaces.	J. Sci. Comput.	2023	DBLP DOI BibTeX RDF
23	William Chettleburgh, Zhishen Huang, Ming-Hsuan Yang 0001	Fast Robust Principle Component Analysis Using Gauss-Newton Iterations.	ICASSP	2023	DBLP DOI BibTeX RDF
23	Yassine Nabou, Lucian Toma, Ion Necoara	Modified projected Gauss-Newton method for constrained nonlinear least-squares: application to power flow analysis.	ECC	2023	DBLP BibTeX RDF
23	Andrea Ghezzi, Léo Simpson, Adrian Bürger, Clemens Zeile, Sebastian Sager, Moritz Diehl	A Voronoi-Based Mixed-Integer Gauss-Newton Algorithm for MINLP Arising in Optimal Control.	ECC	2023	DBLP BibTeX RDF
23	Andrea Ghezzi, Jasper Hoffmann, Jonathan Frey, Joschka Boedecker, Moritz Diehl	Imitation Learning from Nonlinear MPC via the Exact Q-Loss and its Gauss-Newton Approximation.	CDC	2023	DBLP DOI BibTeX RDF
23	Juze Zhang, Ye Shi 0001, Yuexin Ma, Lan Xu, Jingyi Yu, Jingya Wang	IKOL: Inverse Kinematics Optimization Layer for 3D Human Pose and Shape Estimation via Gauss-Newton Differentiation.	AAAI	2023	DBLP DOI BibTeX RDF
23	Krishna Pillutla, Vincent Roulet, Sham M. Kakade, Zaïd Harchaoui	Modified Gauss-Newton Algorithms under Noise.	SSP	2023	DBLP DOI BibTeX RDF
23	Hexun Jiang, Mengfan Fu, Yixiao Zhu, Lilin Yi, Weisheng Hu, Qunbi Zhuge	Digital Pre-Distortion Coefficients Identification Using Gauss-Newton Based Direct Learning Architecture.	OFC	2023	DBLP DOI BibTeX RDF
23	Federica Pes	Truncated Minimal-Norm Gauss-Newton Method Applied to the Inversion of FDEM Data.	ICCSA (Workshops 5)	2023	DBLP DOI BibTeX RDF
23	Michael Arbel, Romain Menegaux, Pierre Wolinski	Rethinking Gauss-Newton for learning over-parameterized models.	NeurIPS	2023	DBLP BibTeX RDF
23	Tengfei Wang, Jiubing Cheng, Jianhua Geng	Wave Equation Reflection Traveltime Inversion Using Gauss-Newton Optimization.	IEEE Geosci. Remote. Sens. Lett.	2022	DBLP DOI BibTeX RDF
23	Rongzhe Zhang, Tonglin Li, Cai Liu, Xingguo Huang, Kristian Jensen, Malte Sommer	3-D Joint Inversion of Gravity and Magnetic Data Using Data-Space and Truncated Gauss-Newton Methods.	IEEE Geosci. Remote. Sens. Lett.	2022	DBLP DOI BibTeX RDF
23	Jingyong Tang, Jinchuan Zhou	A modified damped Gauss-Newton method for non-monotone weighted linear complementarity problems.	Optim. Methods Softw.	2022	DBLP DOI BibTeX RDF
23	Nikita Zvonarev, Nina Golyandina	Fast and stable modification of the Gauss-Newton method for low-rank signal estimation.	Numer. Linear Algebra Appl.	2022	DBLP DOI BibTeX RDF
23	Zhaoxin Wang, Bo Wen	Stochastic Gauss-Newton algorithm with STORM estimators for nonconvex composite optimization.	J. Appl. Math. Comput.	2022	DBLP DOI BibTeX RDF
23	Mikhail M. Kokurin, Mikhail Yu. Kokurin, Anastasiia V. Semenova	Iteratively regularized Gauss-Newton type methods for approximating quasi-solutions of irregular nonlinear operator equations in Hilbert space with an application to COVID-19 epidemic dynamics.	Appl. Math. Comput.	2022	DBLP DOI BibTeX RDF
23	Jidong Yang, Jianping Huang, Zhenchun Li, Hejun Zhu, George A. McMechan, Xin Luo	Approximating the Gauss-Newton Hessian Using a Space-Wavenumber Filter and its Applications in Least-Squares Seismic Imaging.	IEEE Trans. Geosci. Remote. Sens.	2022	DBLP DOI BibTeX RDF
23	Pieter Pas, Andreas Themelis, Panagiotis Patrinos	Gauss-Newton meets PANOC: A fast and globally convergent algorithm for nonlinear optimal control.	CoRR	2022	DBLP DOI BibTeX RDF
23	Neil K. Chada, Marco A. Iglesias, Shuai Lu, Frank Werner 0002	On a Dynamic Variant of the Iteratively Regularized Gauss-Newton Method with Sequential Data.	CoRR	2022	DBLP DOI BibTeX RDF
23	Coralia Cartis, Jaroslav M. Fowkes, Zhen Shao	A Randomised Subspace Gauss-Newton Method for Nonlinear Least-Squares.	CoRR	2022	DBLP DOI BibTeX RDF
23	Hossein Zare, Masoud Hajarian	An efficient Gauss-Newton algorithm for solving regularized total least squares problems.	Numer. Algorithms	2022	DBLP DOI BibTeX RDF
23	Amanpreet Kaur, Govind P. Gupta, Sangeeta Mittal	Energy-Efficient Node Localization Algorithm Based on Gauss-Newton Method and Grey Wolf Optimization Algorithm: Node Localization Algorithm.	Int. J. Fuzzy Syst. Appl.	2022	DBLP DOI BibTeX RDF
23	Qiuling Yang, Alireza Sadeghi, Gang Wang 0014	Data-Driven Priors for Robust PSSE via Gauss-Newton Unrolled Neural Networks.	IEEE J. Emerg. Sel. Topics Circuits Syst.	2022	DBLP DOI BibTeX RDF
23	Kamaluddeen Umar Danmalam, Hassan Mohammad, Mohammed Yusuf Waziri	Structured diagonal Gauss-Newton method for nonlinear least squares.	Comput. Appl. Math.	2022	DBLP DOI BibTeX RDF
23	Gaurav Mittal, Ankik Kumar Giri	Convergence rates for iteratively regularized Gauss-Newton method subject to stability constraints.	J. Comput. Appl. Math.	2022	DBLP DOI BibTeX RDF
23	Zhi Zhao, Xiao-Qing Jin, Teng-Teng Yao	The Riemannian two-step perturbed Gauss-Newton method for least squares inverse eigenvalue problems.	J. Comput. Appl. Math.	2022	DBLP DOI BibTeX RDF
23	Jonas Zehnder, Stelian Coros, Bernhard Thomaszewski	SGN: Sparse Gauss-Newton for Accelerated Sensitivity Analysis.	ACM Trans. Graph.	2022	DBLP DOI BibTeX RDF
23	Katrin Baumgärtner, Moritz Diehl	The Extended Gauss-Newton Method for Nonconvex Loss Functions and its Application to Time-Optimal Model Predictive Control.	ACC	2022	DBLP DOI BibTeX RDF
23	Yuetian Luo, Qin Ma 0003, Chi Zhang, Anru R. Zhang	Provable Second-Order Riemannian Gauss-Newton Method for Low-Rank Tensor Estimation ‖.	ICASSP	2022	DBLP DOI BibTeX RDF
23	Katrin Baumgärtner, Yizhen Wang, Andrea Zanelli, Moritz Diehl	Fast Nonlinear Model Predictive Control using Barrier Formulations and Squashing with a Generalized Gauss-Newton Hessian.	CDC	2022	DBLP DOI BibTeX RDF
23	Marta Colakovic-Benceric, Juraj Persic, Ivan Markovic, Ivan Petrovic	On Hand-Eye Calibration via On-Manifold Gauss-Newton Optimization.	IAS	2022	DBLP DOI BibTeX RDF
23	Mitsuki Itoh, Hiroyuki Kamata	A Study of Self-position Estimation Method by Lunar Explorer by Selecting Corresponding Points Utilizing Gauss-Newton Method.	AsiaSim (1)	2022	DBLP DOI BibTeX RDF
23	Mohammad Jamhuri, Imam Mukhlash, Mohammad Isa Irawan	Performance Improvement of Logistic Regression for Binary Classification by Gauss-Newton Method.	ICoMS	2022	DBLP DOI BibTeX RDF
23	Jörg Fliege, Andrey Tin, Alain B. Zemkoho	Gauss-Newton-type methods for bilevel optimization.	Comput. Optim. Appl.	2021	DBLP DOI BibTeX RDF
23	Ioannis K. Argyros, Stepan Shakhno, Roman Iakymchuk, Halyna Yarmola, Michael I. Argyros	Gauss-Newton-Secant Method for Solving Nonlinear Least Squares Problems under Generalized Lipschitz Conditions.	Axioms	2021	DBLP DOI BibTeX RDF
23	Navjot Singh, Linjian Ma, Hongru Yang, Edgar Solomonik	Comparison of Accuracy and Scalability of Gauss-Newton and Alternating Least Squares for CANDECOMC/PARAFAC Decomposition.	SIAM J. Sci. Comput.	2021	DBLP DOI BibTeX RDF
23	Mario Zanon	A Gauss-Newton-Like Hessian Approximation for Economic NMPC.	IEEE Trans. Autom. Control.	2021	DBLP DOI BibTeX RDF
23	Michiel Vandecappelle, Nico Vervliet, Lieven De Lathauwer	Inexact Generalized Gauss-Newton for Scaling the Canonical Polyadic Decomposition With Non-Least-Squares Cost Functions.	IEEE J. Sel. Top. Signal Process.	2021	DBLP DOI BibTeX RDF
23	Nathanaël Six, Jens Renders, Jan Sijbers, Jan De Beenhouwer	Gauss-Newton-Krylov for Reconstruction of Polychromatic X-Ray CT Images.	IEEE Trans. Computational Imaging	2021	DBLP DOI BibTeX RDF
23	Seyed Mehdi Nasiri, Reshad Hosseini, Hadi Moradi	Novel Parameterization for Gauss-Newton Methods in 3-D Pose Graph Optimization.	IEEE Trans. Robotics	2021	DBLP DOI BibTeX RDF