Results 201 to 210 of about 55,379 (247)
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An Adaptive Multi-step Levenberg–Marquardt Method
Journal of Scientific Computing, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fan, Jinyan +2 more
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A smoothing Levenberg–Marquardt method for NCP
Applied Mathematics and Computation, 2006Nonlinear complementarity problems (NCPs) are converted to an equivalent system of smooth nonlinear equations by using a smoothing technique. Then a Levenberg-Marquardt type method is used to solve the system of nonlinear equations. The method has the following merits: (i) any cluster point of the iteration sequence is a solution of the \(P_{0}\)-NCP; (
Zhang, Ju-Liang, Zhang, Xiangsun
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Levenberg-Marquardt method for ANFIS learning
Proceedings of North American Fuzzy Information Processing, 2002Presents the results of applying the Levenberg-Marquardt method (K. Levenberg, 1944, and D.W. Marquardt, 1963), which is a popular nonlinear least-squares method, to the ANFIS (Adaptive Neuro-Fuzzy Inference System) architecture proposed by Jang (IEEE Trans. on Systems, Man and Cybernctics, vol. 23, no. 3, pp 665-685, May 1993).
null Jyh-Shing Roger Jang, E. Mizutani
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Levenberg–Marquardt method for unconstrained optimization
Tambov University Reports. Series: Natural and Technical Sciences, 2019We propose and study the Levenberg–Marquardt method globalized by means of linesearch for unconstrained optimization problems with possibly nonisolated solutions. It is well-recognized that this method is an efficient tool for solving systems of nonlinear equations, especially in the presence of singular and even nonisolated solutions.
Alexey Izmailov +2 more
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A Levenberg–Marquardt method based on Sobolev gradients
Nonlinear Analysis: Theory, Methods & Applications, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kazemi, Parimah, Renka, Robert J.
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A Levenberg-Marquardt method with approximate projections
Computational Optimization and Applications, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Behling, R. +4 more
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Convergence analysis of the Levenberg–Marquardt method
Optimization Methods and Software, 2007The Levenberg-Marquardt method is a popular method for both optimization problems and equilibrium problems in dynamical systems. In this article, we study the convergence properties of the Levenberg-Marquardt method with the standard matrix update scheme.
Xin-Long Luo, Li-Zhi Liao, Hon Wah Tam
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Global Complexity Bound of the Inexact Levenberg–Marquardt Method
Journal of the Operations Research Society of China, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Huang, Jian-Chao, Fan, Jin-Yan
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On the inexactness level of robust Levenberg–Marquardt methods
Optimization, 2010Recently, the Levenberg–Marquardt (LM) method has been used for solving systems of nonlinear equations with nonisolated solutions. Under certain conditions it converges Q-quadratically to a solution. The same rate has been obtained for inexact versions of the LM method.
Fischer, A., Shukla, P. K., Wang, M.
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Some research on Levenberg–Marquardt method for the nonlinear equations
Applied Mathematics and Computation, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ma, Changfeng, Jiang, Lihua
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