Suchergebnisse - difference‐of‐convex algorithm framework

Learning Difference-of-Convex Regularizers for Inverse Problems: A Flexible Framework with Theoretical Guarantees

Autoren: Zhang, Yasi Leong, Oscar

Index Begriffe: Statistics - Machine Learning, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Image and Video Processing, Mathematics - Optimization and Control, text

URL: http://arxiv.org/abs/2502.00240

Optimization of Device-Free Localization with Springback Dual Models: A Synthetic and Analytical Framework

Autoren: Jinan Li Benying Tan Yang Qin et al.

Quelle: Sensors, Vol 25, Iss 18, p 5696 (2025)

Schlagwörter: device-free localization, sparse representation, transform learning, Springback penalty, difference of convex functions algorithm, Chemical technology, TP1-1185

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1424-8220/25/18/5696; https://doaj.org/toc/1424-8220

Zugangs-URL: https://doaj.org/article/2e8a261ace88404fa63033b29d6a4ee2

Initialization of the difference of convex functions optimization algorithm for nonconvex quadratic problems

Autoren: Achour, Saadi Rahmoune, Abdelaziz Ouchenane, Djamel et al.

Quelle: Filomat, 2024 Jan 01. 38(3), 1069-1083.

Zugangs-URL: https://www.jstor.org/stable/27387029

Preconditioned Algorithm for Difference of Convex Functions with applications to Graph Ginzburg-Landau Model

Autoren: Shen, Xinhua Sun, Hongpeng Tai, Xuecheng

Index Begriffe: Mathematics - Numerical Analysis, Mathematics - Optimization and Control, text

URL: http://arxiv.org/abs/2303.14495

Joint Secure AF Relaying and Artificial Noise Optimization: A Penalized Difference-of-Convex Programming Framework

Autoren: Jiaxin Yang Qiang Li Yunlong Cai et al.

Quelle: IEEE Access, Vol 4, Pp 10076-10095 (2016)

Schlagwörter: Amplify-and-forward, difference-of-convex, eavesdropping, multiple-input multiple-output, physical layer security, relaying, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/7744515/; https://doaj.org/toc/2169-3536

Zugangs-URL: https://doaj.org/article/e476363425d248b8bac53ae62a01119a

Difference of convex algorithms for bilevel programs with applications in hyperparameter selection.

Autoren: Ye, Jane J. Yuan, Xiaoming Zeng, Shangzhi et al.

Quelle: Mathematical Programming. Apr2023, Vol. 198 Issue 2, p1583-1616. 34p.

Schlagwörter: *ALGORITHMS, BILEVEL programming, SUPPORT vector machines, CONVEX functions, MACHINE learning

A non-convex algorithm framework based on DC programming and DCA for matrix completion

Autoren: Yanfei Wang Laisheng Wang Juan Geng

Quelle: Numerical Algorithms. 68:903-921

Schlagwörter: 0211 other engineering and technologies, 02 engineering and technology

A guaranteed service model with continuous review (r,Q) policy.

Autoren: Bendadou, Abderrahim Rekik, Yacine Kalaï, Rim et al.

Quelle: Annals of Operations Research. Aug2025, Vol. 351 Issue 1, p883-901. 19p.

Schlagwörter: *INVENTORY control, *NONLINEAR programming, *RESOURCE allocation, *MATHEMATICAL optimization, OPTIMIZATION algorithms, COMPUTER simulation

求解低秩密度矩阵约束最小二乘问题的优函数罚方法. (Chinese)

Alternate Title: Majorized penalty algorithm for the least squares problem with the low rank density matrix constraint. (English)

Autoren: 罗 曦 熊贤祝 刘勇进

Quelle: Journal of Fuzhou University; 2024, Issue 2, p127-133, 7p

A non-convex algorithm framework based on DC programming and DCA for matrix completion.

Autoren: Geng, Juan Wang, Laisheng Wang, Yanfei

Quelle: Numerical Algorithms; Apr2015, Vol. 68 Issue 4, p903-921, 19p

Schlagwörter: MATRICES (Mathematics), CONVEX domains, CONVEX functions, ALGORITHMS, MATHEMATICS research

A Progressive Decoupling Algorithm for Minimizing the Difference of Convex and Weakly Convex Functions.

Autoren: de Oliveira, Welington Souza, João Carlos de Oliveira

Quelle: Journal of Optimization Theory & Applications. Mar2025, Vol. 204 Issue 3, p1-24. 24p.

Schlagwörter: *MATHEMATICAL decomposition, *COMPUTATIONAL mathematics, *NONSMOOTH optimization, *APPLIED mathematics, *MATHEMATICAL optimization

Unknown-but-bounded uncertainty propagation in spacecraft structural system: Interval reduced basis method and its integrated framework.

Autoren: Lyu, Zheng Yang, Yaowen Xia, Haijun

Quelle: Aerospace Science & Technology. Sep2019, Vol. 92, p945-957. 13p.

Schlagwörter: *QUADRATIC programming, *CONVEX functions, *UNCERTAINTY, *SPACE vehicles, *AVIONICS

APDCA: An accurate and effective method for predicting associations between RBPs and AS-events during epithelial-mesenchymal transition.

Autoren: He, Yangsong Bai, Zheng-Jian Ching, Wai-Ki et al.

Quelle: PLoS Computational Biology. 11/6/2025, Vol. 21 Issue 11, p1-18. 18p.

Long-Short Portfolio Optimization Under Cardinality Constraints by Difference of Convex Functions Algorithm.

Autoren: Le Thi, Hoai Moeini, Mahdi

Quelle: Journal of Optimization Theory & Applications. Apr2014, Vol. 161 Issue 1, p199-224. 26p.

Schlagwörter: *CONVEX functions, *CONSTRAINT algorithms, *CONVEX programming, *NONCONVEX programming, *COMPLEMENTARITY constraints (Mathematics)

Encoding inductive invariants as barrier certificates: synthesis via difference-of-convex programming

Autoren: Wang, Qiuye Chen, Mingshuai Xue, Bai et al.

Index Begriffe: Computer Science - Logic in Computer Science, Mathematics - Dynamical Systems, text

URL: http://arxiv.org/abs/2209.09703

Block Clustering Based on Difference of Convex Functions (DC) Programming and DC Algorithms.

Autoren: Le, Hoai Minh Le Thi, Hoai An Dinh, Tao Pham et al.

Quelle: Neural Computation. Oct2013, Vol. 25 Issue 10, p2776-2807. 32p. 4 Charts.

Schlagwörter: *CONVEX functions, *ALGORITHMS, *COMBINATORIAL optimization, *COMPUTER programming, *COMPUTATIONAL complexity, *ROBUST control, *FUZZY clustering technique

Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms

Autoren: Tonin, Francesco Lambert, Alex Patrinos, Panagiotis et al.

Index Begriffe: Computer Science - Machine Learning, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/2306.05815

A sparse extreme learning machine framework by continuous optimization algorithms and its application in pattern recognition.

Autoren: Yang, Liming Zhang, Siyun

Quelle: Engineering Applications of Artificial Intelligence. Aug2016, Vol. 53, p176-189. 14p.

Schlagwörter: *FEEDFORWARD neural networks, *PATTERN perception, *MACHINE learning, *LEAST squares, *LEAST absolute deviations (Statistics), *ALGORITHMS

A self-correcting variable-metric algorithm framework for nonsmooth optimization.

Autoren: Curtis, Frank E Robinson, Daniel P Zhou, Baoyu

Quelle: IMA Journal of Numerical Analysis; Apr2020, Vol. 40 Issue 2, p1154-1187, 34p

Schlagwörter: NONSMOOTH optimization, SYMMETRIC matrices, ALGORITHMS, QUASI-Newton methods

Synthesizing Invariant Barrier Certificates via Difference-of-Convex Programming

Autoren: Wang, Qiuye Chen, Mingshuai Xue, Bai et al.

Index Begriffe: Computer Science - Logic in Computer Science, text

URL: http://arxiv.org/abs/2105.14311