Journal articles on the topic 'Inertial Bregman proximal gradient'
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Mukkamala, Mahesh Chandra, Peter Ochs, Thomas Pock, and Shoham Sabach. "Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Nonconvex Optimization." SIAM Journal on Mathematics of Data Science 2, no. 3 (January 2020): 658–82. http://dx.doi.org/10.1137/19m1298007.
Full textKabbadj, S. "Inexact Version of Bregman Proximal Gradient Algorithm." Abstract and Applied Analysis 2020 (April 1, 2020): 1–11. http://dx.doi.org/10.1155/2020/1963980.
Full textZhou, Yi, Yingbin Liang, and Lixin Shen. "A simple convergence analysis of Bregman proximal gradient algorithm." Computational Optimization and Applications 73, no. 3 (April 4, 2019): 903–12. http://dx.doi.org/10.1007/s10589-019-00092-y.
Full textHanzely, Filip, Peter Richtárik, and Lin Xiao. "Accelerated Bregman proximal gradient methods for relatively smooth convex optimization." Computational Optimization and Applications 79, no. 2 (April 7, 2021): 405–40. http://dx.doi.org/10.1007/s10589-021-00273-8.
Full textMahadevan, Sridhar, Stephen Giguere, and Nicholas Jacek. "Basis Adaptation for Sparse Nonlinear Reinforcement Learning." Proceedings of the AAAI Conference on Artificial Intelligence 27, no. 1 (June 30, 2013): 654–60. http://dx.doi.org/10.1609/aaai.v27i1.8665.
Full textYang, Lei, and Kim-Chuan Toh. "Bregman Proximal Point Algorithm Revisited: A New Inexact Version and Its Inertial Variant." SIAM Journal on Optimization 32, no. 3 (July 13, 2022): 1523–54. http://dx.doi.org/10.1137/20m1360748.
Full textLi, Jing, Xiao Wei, Fengpin Wang, and Jinjia Wang. "IPGM: Inertial Proximal Gradient Method for Convolutional Dictionary Learning." Electronics 10, no. 23 (December 3, 2021): 3021. http://dx.doi.org/10.3390/electronics10233021.
Full textXiao, Xiantao. "A Unified Convergence Analysis of Stochastic Bregman Proximal Gradient and Extragradient Methods." Journal of Optimization Theory and Applications 188, no. 3 (January 8, 2021): 605–27. http://dx.doi.org/10.1007/s10957-020-01799-3.
Full textWang, Qingsong, Zehui Liu, Chunfeng Cui, and Deren Han. "A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 14 (March 24, 2024): 15580–88. http://dx.doi.org/10.1609/aaai.v38i14.29485.
Full textHe, Lulu, Jimin Ye, and Jianwei E. "Nonconvex optimization with inertial proximal stochastic variance reduction gradient." Information Sciences 648 (November 2023): 119546. http://dx.doi.org/10.1016/j.ins.2023.119546.
Full textZhu, Daoli, Sien Deng, Minghua Li, and Lei Zhao. "Level-Set Subdifferential Error Bounds and Linear Convergence of Bregman Proximal Gradient Method." Journal of Optimization Theory and Applications 189, no. 3 (May 31, 2021): 889–918. http://dx.doi.org/10.1007/s10957-021-01865-4.
Full textHua, Xiaoqin, and Nobuo Yamashita. "Block coordinate proximal gradient methods with variable Bregman functions for nonsmooth separable optimization." Mathematical Programming 160, no. 1-2 (January 27, 2016): 1–32. http://dx.doi.org/10.1007/s10107-015-0969-z.
Full textZhang, Xiaoya, Roberto Barrio, M. Angeles Martinez, Hao Jiang, and Lizhi Cheng. "Bregman Proximal Gradient Algorithm With Extrapolation for a Class of Nonconvex Nonsmooth Minimization Problems." IEEE Access 7 (2019): 126515–29. http://dx.doi.org/10.1109/access.2019.2937005.
Full textKesornprom, Suparat, and Prasit Cholamjiak. "A modified inertial proximal gradient method for minimization problems and applications." AIMS Mathematics 7, no. 5 (2022): 8147–61. http://dx.doi.org/10.3934/math.2022453.
Full textBoţ, Radu Ioan, Ernö Robert Csetnek, and Nimit Nimana. "An Inertial Proximal-Gradient Penalization Scheme for Constrained Convex Optimization Problems." Vietnam Journal of Mathematics 46, no. 1 (September 1, 2017): 53–71. http://dx.doi.org/10.1007/s10013-017-0256-9.
Full textKankam, Kunrada, and Prasit Cholamjiak. "Double Inertial Proximal Gradient Algorithms for Convex Optimization Problems and Applications." Acta Mathematica Scientia 43, no. 3 (April 29, 2023): 1462–76. http://dx.doi.org/10.1007/s10473-023-0326-x.
Full textAhookhosh, Masoud, Le Thi Khanh Hien, Nicolas Gillis, and Panagiotis Patrinos. "A Block Inertial Bregman Proximal Algorithm for Nonsmooth Nonconvex Problems with Application to Symmetric Nonnegative Matrix Tri-Factorization." Journal of Optimization Theory and Applications 190, no. 1 (June 15, 2021): 234–58. http://dx.doi.org/10.1007/s10957-021-01880-5.
Full textBao, Chenglong, Chang Chen null, and Kai Jiang. "An Adaptive Block Bregman Proximal Gradient Method for Computing Stationary States of Multicomponent Phase-Field Crystal Model." CSIAM Transactions on Applied Mathematics 3, no. 1 (June 2022): 133–71. http://dx.doi.org/10.4208/csiam-am.so-2021-0002.
Full textWu, Zhongming, and Min Li. "General inertial proximal gradient method for a class of nonconvex nonsmooth optimization problems." Computational Optimization and Applications 73, no. 1 (February 18, 2019): 129–58. http://dx.doi.org/10.1007/s10589-019-00073-1.
Full textKesornprom, Suparat, Papatsara Inkrong, Uamporn Witthayarat, and Prasit Cholamjiak. "A recent proximal gradient algorithm for convex minimization problem using double inertial extrapolations." AIMS Mathematics 9, no. 7 (2024): 18841–59. http://dx.doi.org/10.3934/math.2024917.
Full textKESORNPROM, Suparat, and Prasit CHOLAMJİAK. "A double proximal gradient method with new linesearch for solving convex minimization problem with application to data classification." Results in Nonlinear Analysis 5, no. 4 (December 30, 2022): 412–22. http://dx.doi.org/10.53006/rna.1143531.
Full textAdly, Samir, and Hedy Attouch. "Finite Convergence of Proximal-Gradient Inertial Algorithms Combining Dry Friction with Hessian-Driven Damping." SIAM Journal on Optimization 30, no. 3 (January 2020): 2134–62. http://dx.doi.org/10.1137/19m1307779.
Full textPakkaranang, Nuttapol, Poom Kumam, Vasile Berinde, and Yusuf I. Suleiman. "Superiorization methodology and perturbation resilience of inertial proximal gradient algorithm with application to signal recovery." Journal of Supercomputing 76, no. 12 (February 27, 2020): 9456–77. http://dx.doi.org/10.1007/s11227-020-03215-z.
Full textJolaoso, L. O., H. A. Abass, and O. T. Mewomo. "A viscosity-proximal gradient method with inertial extrapolation for solving certain minimization problems in Hilbert space." Archivum Mathematicum, no. 3 (2019): 167–94. http://dx.doi.org/10.5817/am2019-3-167.
Full textBussaban, Limpapat, Attapol Kaewkhao, and Suthep Suantai. "Inertial s-iteration forward-backward algorithm for a family of nonexpansive operators with applications to image restoration problems." Filomat 35, no. 3 (2021): 771–82. http://dx.doi.org/10.2298/fil2103771b.
Full textWang, Xiaofan, Zhiyuan Deng, Changle Wang, and Jinjia Wang. "Inertial Algorithm with Dry Fraction and Convolutional Sparse Coding for 3D Localization with Light Field Microscopy." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 18 (March 24, 2024): 20830–37. http://dx.doi.org/10.1609/aaai.v38i18.30072.
Full textLoría-Calderón, Tyrone M., Carlos D. Gómez-Carmona, Keven G. Santamaría-Guzmán, Mynor Rodríguez-Hernández, and José Pino-Ortega. "Quantifying the External Joint Workload and Safety of Latin Dance in Older Adults: Potential Benefits for Musculoskeletal Health." Applied Sciences 14, no. 7 (March 22, 2024): 2689. http://dx.doi.org/10.3390/app14072689.
Full textWu, Zhongming, Chongshou Li, Min Li, and Andrew Lim. "Inertial proximal gradient methods with Bregman regularization for a class of nonconvex optimization problems." Journal of Global Optimization, August 19, 2020. http://dx.doi.org/10.1007/s10898-020-00943-7.
Full textGao, Xue, Xingju Cai, Xiangfeng Wang, and Deren Han. "An alternating structure-adapted Bregman proximal gradient descent algorithm for constrained nonconvex nonsmooth optimization problems and its inertial variant." Journal of Global Optimization, June 24, 2023. http://dx.doi.org/10.1007/s10898-023-01300-0.
Full textZhang, Hui, Yu-Hong Dai, Lei Guo, and Wei Peng. "Proximal-Like Incremental Aggregated Gradient Method with Linear Convergence Under Bregman Distance Growth Conditions." Mathematics of Operations Research, June 25, 2019. http://dx.doi.org/10.1287/moor.2019.1047.
Full textTakahashi, Shota, Mituhiro Fukuda, and Mirai Tanaka. "New Bregman proximal type algorithms for solving DC optimization problems." Computational Optimization and Applications, September 23, 2022. http://dx.doi.org/10.1007/s10589-022-00411-w.
Full textLiu, Jin-Zan, and Xin-Wei Liu. "A dual Bregman proximal gradient method for relatively-strongly convex optimization." Numerical Algebra, Control & Optimization, 2021, 0. http://dx.doi.org/10.3934/naco.2021028.
Full textSun, Tao, Linbo Qiao, and Dongsheng Li. "Nonergodic Complexity of Proximal Inertial Gradient Descents." IEEE Transactions on Neural Networks and Learning Systems, 2020, 1–14. http://dx.doi.org/10.1109/tnnls.2020.3025157.
Full textChen, Kangming, Ellen H. Fukuda, and Nobuo Yamashita. "A proximal gradient method with Bregman distance in multi-objective optimization." Pacific Journal of Optimization, 2024. http://dx.doi.org/10.61208/pjo-2024-012.
Full textMukkamala, Mahesh Chandra, Jalal Fadili, and Peter Ochs. "Global convergence of model function based Bregman proximal minimization algorithms." Journal of Global Optimization, December 1, 2021. http://dx.doi.org/10.1007/s10898-021-01114-y.
Full textXiao, Xiantao. "A Unified Convergence Analysis of Stochastic Bregman Proximal Gradient and Extragradient Methods." Journal of Optimization Theory and Applications, January 8, 2021. http://dx.doi.org/10.1007/s10957-020-01799-3.
Full textBonettini, S., M. Prato, and S. Rebegoldi. "A new proximal heavy ball inexact line-search algorithm." Computational Optimization and Applications, March 10, 2024. http://dx.doi.org/10.1007/s10589-024-00565-9.
Full textDuan, Peichao, Yiqun Zhang, and Qinxiong Bu. "New inertial proximal gradient methods for unconstrained convex optimization problems." Journal of Inequalities and Applications 2020, no. 1 (December 2020). http://dx.doi.org/10.1186/s13660-020-02522-6.
Full textHertrich, Johannes, and Gabriele Steidl. "Inertial stochastic PALM and applications in machine learning." Sampling Theory, Signal Processing, and Data Analysis 20, no. 1 (April 22, 2022). http://dx.doi.org/10.1007/s43670-022-00021-x.
Full textZhang, Xiaoya, Wei Peng, and Hui Zhang. "Inertial proximal incremental aggregated gradient method with linear convergence guarantees." Mathematical Methods of Operations Research, June 25, 2022. http://dx.doi.org/10.1007/s00186-022-00790-0.
Full textGuo, Chenzheng, Jing Zhao, and Qiao-Li Dong. "A stochastic two-step inertial Bregman proximal alternating linearized minimization algorithm for nonconvex and nonsmooth problems." Numerical Algorithms, November 9, 2023. http://dx.doi.org/10.1007/s11075-023-01693-9.
Full textJia, Zehui, Jieru Huang, and Xingju Cai. "Proximal-like incremental aggregated gradient method with Bregman distance in weakly convex optimization problems." Journal of Global Optimization, May 29, 2021. http://dx.doi.org/10.1007/s10898-021-01044-9.
Full textKankam, Kunrada, Watcharaporn Cholamjiak, and Prasit Cholamjiak. "New inertial forward–backward algorithm for convex minimization with applications." Demonstratio Mathematica 56, no. 1 (January 1, 2023). http://dx.doi.org/10.1515/dema-2022-0188.
Full textSun, Shuya, and Lulu He. "General inertial proximal stochastic variance reduction gradient for nonconvex nonsmooth optimization." Journal of Inequalities and Applications 2023, no. 1 (February 17, 2023). http://dx.doi.org/10.1186/s13660-023-02922-4.
Full textInkrong, Papatsara, and Prasit Cholamjiak. "Modified proximal gradient methods involving double inertial extrapolations for monotone inclusion." Mathematical Methods in the Applied Sciences, April 30, 2024. http://dx.doi.org/10.1002/mma.10159.
Full textValkonen, Tuomo. "Proximal methods for point source localisation." Journal of Nonsmooth Analysis and Optimization Volume 4, Original research articles (September 21, 2023). http://dx.doi.org/10.46298/jnsao-2023-10433.
Full textMouktonglang, Thanasak, Wipawinee Chaiwino, and Raweerote Suparatulatorn. "A proximal gradient method with double inertial steps for minimization problems involving demicontractive mappings." Journal of Inequalities and Applications 2024, no. 1 (May 15, 2024). http://dx.doi.org/10.1186/s13660-024-03145-x.
Full text"Convergence of proximal gradient method with alternated inertial step for minimization problem." Advances in Fixed Point Theory, 2024. http://dx.doi.org/10.28919/afpt/8625.
Full textSilveti-Falls, Antonio, Cesare Molinari, and Jalal Fadili. "Inexact and Stochastic Generalized Conditional Gradient with Augmented Lagrangian and Proximal Step." Journal of Nonsmooth Analysis and Optimization Volume 2, Original research articles (September 1, 2021). http://dx.doi.org/10.46298/jnsao-2021-6480.
Full textCohen, Eyal, and Marc Teboulle. "Alternating and Parallel Proximal Gradient Methods for Nonsmooth, Nonconvex Minimax: A Unified Convergence Analysis." Mathematics of Operations Research, February 8, 2024. http://dx.doi.org/10.1287/moor.2022.0294.
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