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Publication search results
found 188 matches
- 2024
- Shummin Nakayama, Yasushi Narushima, Hiroshi Yabe:
Inexact proximal DC Newton-type method for nonconvex composite functions. Comput. Optim. Appl. 87(2): 611-640 (2024) - Ioannis K. Argyros, Santhosh George:
On a unified convergence analysis for Newton-type methods solving generalized equations with the Aubin property. J. Complex. 81: 101817 (2024) - Yao Sun, Pan Wang:
Simultaneously determine elastic impedance and shape by a Newton-type iterative method. CoRR abs/2401.00236 (2024) - 2023
- Sophie M. Moufawad, Nabil R. Nassif:
Newton type methods for solving a Hasegawa-Mima plasma model. Appl. Math. Comput. 459: 128141 (2023) - Zohre Aminifard, Saman Babaie-Kafaki:
A diagonally scaled Newton-type proximal method for minimization of the models with nonsmooth composite cost functions. Comput. Appl. Math. 42(8): 353 (2023) - Jun Sun, Lingchen Kong, Biao Qu:
A Greedy Newton-Type Method for Multiple Sparse Constraint Problem. J. Optim. Theory Appl. 196(3): 829-854 (2023) - Boris S. Mordukhovich, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang:
A globally convergent proximal Newton-type method in nonsmooth convex optimization. Math. Program. 198(1): 899-936 (2023) - Giro Candelario, Alicia Cordero, Juan R. Torregrosa, María P. Vassileva:
Generalized conformable fractional Newton-type method for solving nonlinear systems. Numer. Algorithms 93(3): 1171-1208 (2023) - Zohre Aminifard, Saman Babaie-Kafaki:
An approximate Newton-type proximal method using symmetric rank-one updating formula for minimizing the nonsmooth composite functions. Optim. Methods Softw. 38(3): 529-542 (2023) - Md Abu Talhamainuddin Ansary:
A Newton-type proximal gradient method for nonlinear multi-objective optimization problems. Optim. Methods Softw. 38(3): 570-590 (2023) - Ioannis K. Argyros, Stepan Shakhno, Samundra Regmi, Halyna Yarmola:
Newton-Type Methods for Solving Equations in Banach Spaces: A Unified Approach. Symmetry 15(1): 15 (2023) - Robert Altmann, Daniel Peterseim, Tatjana Stykel:
Riemannian Newton methods for energy minimization problems of Kohn-Sham type. CoRR abs/2307.13820 (2023) - 2022
- 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. 431: 127312 (2022) - Giro Candelario, Alicia Cordero, Juan R. Torregrosa, María P. Vassileva:
An optimal and low computational cost fractional Newton-type method for solving nonlinear equations. Appl. Math. Lett. 124: 107650 (2022) - Max L. N. Gonçalves, Fernando S. Lima, Leandro da Fonseca Prudente:
Globally convergent Newton-type methods for multiobjective optimization. Comput. Optim. Appl. 83(2): 403-434 (2022) - Matilde Gargiani, Andrea Zanelli, Dominic Liao-McPherson, Tyler H. Summers, John Lygeros:
Dynamic Programming Through the Lens of Semismooth Newton-Type Methods. IEEE Control. Syst. Lett. 6: 2996-3001 (2022) - M. Z. Khaton, M. H. Rashid:
Extended Newton-type Method for Nonsmooth Generalized Equation under n , α -point-based Approximation. Int. J. Math. Math. Sci. 2022: 7108996:1-7108996:17 (2022) - Leonardo A. Sousa, Susana Scheimberg, Pedro Jorge Sousa dos Santos, Paulo Sérgio Marques dos Santos:
A quasi-Newton type method for equilibrium problems. Numer. Algorithms 89(3): 1129-1143 (2022) - Tianyi Lu, Yangfeng Su:
A Newton-type method for two-dimensional eigenvalue problems. Numer. Linear Algebra Appl. 29(4) (2022) - Andreas Fischer, Alain B. Zemkoho, Shenglong Zhou:
Semismooth Newton-type method for bilevel optimization: global convergence and extensive numerical experiments. Optim. Methods Softw. 37(5): 1770-1804 (2022) - Chin Pang Ho, Michal Kocvara, Panos Parpas:
Newton-type multilevel optimization method. Optim. Methods Softw. 37(1): 45-78 (2022) - Mounssif Krouka, Anis Elgabli, Chaouki Ben Issaid, Mehdi Bennis:
Communication-Efficient Federated Learning: A Second Order Newton-Type Method With Analog Over-the-Air Aggregation. IEEE Trans. Green Commun. Netw. 6(3): 1862-1874 (2022) - Canh T. Dinh, Nguyen Hoang Tran, Tuan Dung Nguyen, Wei Bao, Amir Rezaei Balef, Bing Bing Zhou, Albert Y. Zomaya:
DONE: Distributed Approximate Newton-type Method for Federated Edge Learning. IEEE Trans. Parallel Distributed Syst. 33(11): 2648-2660 (2022) - Anis Elgabli, Chaouki Ben Issaid, Amrit Singh Bedi, Ketan Rajawat, Mehdi Bennis, Vaneet Aggarwal:
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning. ICML 2022: 5861-5877 - Mher Safaryan, Rustem Islamov, Xun Qian, Peter Richtárik:
FedNL: Making Newton-Type Methods Applicable to Federated Learning. ICML 2022: 18959-19010 - Sophie M. Moufawad, Nabil R. Nassif:
Newton Type Methods for solving a Hasegawa-Mima Plasma Model. CoRR abs/2202.01554 (2022) - Yuancheng Zhou:
Solving Stochastic Optimization by Newton-type methods with Dimension-Adaptive Sparse Grid Quadrature. CoRR abs/2202.10364 (2022) - Rustem Islamov, Xun Qian, Slavomír Hanzely, Mher Safaryan, Peter Richtárik:
Distributed Newton-Type Methods with Communication Compression and Bernoulli Aggregation. CoRR abs/2206.03588 (2022) - Anis Elgabli, Chaouki Ben Issaid, Amrit S. Bedi, Ketan Rajawat, Mehdi Bennis, Vaneet Aggarwal:
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning. CoRR abs/2206.08829 (2022) - Barbara Kaltenbacher:
Convergence guarantees for coefficient reconstruction in PDEs from boundary measurements by variational and Newton type methods via range invariance. CoRR abs/2209.12596 (2022)
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