In a Hilbert space setting, we introduce dynamical systems, which are linked to Newton and Levenberg-Marquardt methods. They are intended to solve, by splitting methods, inclusions governed by structured monotone operators M = A + B, where A is a general maximal monotone operator, and B is monotone and locally Lipschitz continuous. Based on the Minty representation of A as a Lipschitz manifold, we show that these dynamics can be formulated as differential systems, which are relevant to the Cauchy-Lipschitz theorem, and involve separately B and the resolvents of A. In the convex subdifferential case, by using Lyapunov asymptotic analysis, we prove a descent minimizing property, and weak convergence to equilibria of the trajectories. Time discretization of these dynamics gives algorithms combining Newton’s method and forward-backward methods for solving structured monotone inclusions. The Levenberg-Marquardt regularization term acts in an open loop way. As a byproduct of our study, we can take the regularization coefficient of bounded variation. These stability results are directly related to the study of numerical algorithms that combine forward-backward and Newton’s methods.
Published in | International Journal of Theoretical and Applied Mathematics (Volume 7, Issue 1) |
DOI | 10.11648/j.ijtam.20210701.11 |
Page(s) | 1-11 |
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2021. Published by Science Publishing Group |
Monotone Inclusions, Newton Method, Levenberg-Marquardt Regularization, Dissipative Dynamical Systems, Lyapunov Analysis, Weak Asymptotic Convergence, Forward-Backward Algorithms, Gradient-Projection Methods
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APA Style
Boushra Abbas, Ramez Koudsieh. (2021). Stability of a Regularized Newton Method with Two Potentials. International Journal of Theoretical and Applied Mathematics, 7(1), 1-11. https://doi.org/10.11648/j.ijtam.20210701.11
ACS Style
Boushra Abbas; Ramez Koudsieh. Stability of a Regularized Newton Method with Two Potentials. Int. J. Theor. Appl. Math. 2021, 7(1), 1-11. doi: 10.11648/j.ijtam.20210701.11
AMA Style
Boushra Abbas, Ramez Koudsieh. Stability of a Regularized Newton Method with Two Potentials. Int J Theor Appl Math. 2021;7(1):1-11. doi: 10.11648/j.ijtam.20210701.11
@article{10.11648/j.ijtam.20210701.11, author = {Boushra Abbas and Ramez Koudsieh}, title = {Stability of a Regularized Newton Method with Two Potentials}, journal = {International Journal of Theoretical and Applied Mathematics}, volume = {7}, number = {1}, pages = {1-11}, doi = {10.11648/j.ijtam.20210701.11}, url = {https://doi.org/10.11648/j.ijtam.20210701.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijtam.20210701.11}, abstract = {In a Hilbert space setting, we introduce dynamical systems, which are linked to Newton and Levenberg-Marquardt methods. They are intended to solve, by splitting methods, inclusions governed by structured monotone operators M = A + B, where A is a general maximal monotone operator, and B is monotone and locally Lipschitz continuous. Based on the Minty representation of A as a Lipschitz manifold, we show that these dynamics can be formulated as differential systems, which are relevant to the Cauchy-Lipschitz theorem, and involve separately B and the resolvents of A. In the convex subdifferential case, by using Lyapunov asymptotic analysis, we prove a descent minimizing property, and weak convergence to equilibria of the trajectories. Time discretization of these dynamics gives algorithms combining Newton’s method and forward-backward methods for solving structured monotone inclusions. The Levenberg-Marquardt regularization term acts in an open loop way. As a byproduct of our study, we can take the regularization coefficient of bounded variation. These stability results are directly related to the study of numerical algorithms that combine forward-backward and Newton’s methods.}, year = {2021} }
TY - JOUR T1 - Stability of a Regularized Newton Method with Two Potentials AU - Boushra Abbas AU - Ramez Koudsieh Y1 - 2021/01/22 PY - 2021 N1 - https://doi.org/10.11648/j.ijtam.20210701.11 DO - 10.11648/j.ijtam.20210701.11 T2 - International Journal of Theoretical and Applied Mathematics JF - International Journal of Theoretical and Applied Mathematics JO - International Journal of Theoretical and Applied Mathematics SP - 1 EP - 11 PB - Science Publishing Group SN - 2575-5080 UR - https://doi.org/10.11648/j.ijtam.20210701.11 AB - In a Hilbert space setting, we introduce dynamical systems, which are linked to Newton and Levenberg-Marquardt methods. They are intended to solve, by splitting methods, inclusions governed by structured monotone operators M = A + B, where A is a general maximal monotone operator, and B is monotone and locally Lipschitz continuous. Based on the Minty representation of A as a Lipschitz manifold, we show that these dynamics can be formulated as differential systems, which are relevant to the Cauchy-Lipschitz theorem, and involve separately B and the resolvents of A. In the convex subdifferential case, by using Lyapunov asymptotic analysis, we prove a descent minimizing property, and weak convergence to equilibria of the trajectories. Time discretization of these dynamics gives algorithms combining Newton’s method and forward-backward methods for solving structured monotone inclusions. The Levenberg-Marquardt regularization term acts in an open loop way. As a byproduct of our study, we can take the regularization coefficient of bounded variation. These stability results are directly related to the study of numerical algorithms that combine forward-backward and Newton’s methods. VL - 7 IS - 1 ER -