Search Results - Surrogate sub-gradient algorithm

Mathematical Model and Algorithm of Fair Power and Rate Control in Wireless Ad Hoc Networks Based on Deflected Sub-gradient Method.

Authors: TANG, MEIQIN SUN, SHAOYAN CHENG, TINGZHI et al.

Source: Adhoc & Sensor Wireless Networks; 2025, Vol. 61 Issue 3/4, p215-234, 20p

Zeroth-order Proximal Clipped Gradient Method with Shifts for Distributed Stochastic Composite Optimization Problems with Infinite Variance.

Authors: Yang, Zhen-Ping Chen, Pin-Bo Zhao, Yong et al.

Source: Journal of Scientific Computing; Nov2025, Vol. 105 Issue 2, p1-62, 62p

A ZEROTH-ORDER PROXIMAL STOCHASTIC GRADIENT METHOD FOR WEAKLY CONVEX STOCHASTIC OPTIMIZATION.

Authors: POUGKAKIOTIS, SPYRIDON KALOGERIAS, DIONYSIS

Source: SIAM Journal on Scientific Computing; 2023, Vol. 45 Issue 5, pA2679-A2702, 24p

Subject Terms: OPTIMIZATION algorithms, NONSMOOTH optimization, METAHEURISTIC algorithms

A simple and improved algorithm for noisy, convex, zeroth-order optimisation.

Authors: Carpentier, Alexandra

Source: Mathematical Statistics & Learning; 2025, Vol. 8 Issue 3/4, p165-192, 28p

Subject Terms: CONVEX programming, ALGORITHMS, CENTROID, CONVEX domains, MATHEMATICAL optimization, ROBUST optimization, FUNCTIONAL analysis

MI-based beamforming optimization framework for integrated sensing and communication.

Authors: Pu, Zhiwei Chen, Fan

Source: Frontiers in Signal Processing; 2025, p1-13, 13p

Subject Terms: BEAMFORMING, MATHEMATICAL optimization, OPTIMIZATION algorithms, TELECOMMUNICATION systems, INFORMATION theory, MOBILE communication systems

Learning in Inverse Optimization: Incenter Cost, Augmented Suboptimality Loss, and Algorithms.

Authors: Zattoni Scroccaro, Pedro Atasoy, Bilge Mohajerin Esfahani, Peyman

Source: Operations Research; Sep/Oct2025, Vol. 73 Issue 5, p2661-2679, 19p

Subject Terms: ALGORITHMS, MATHEMATICAL optimization, LOSS functions (Statistics), NUMERICAL analysis, MATHEMATICAL programming

Priority rule-based heuristics for distributed multi-project scheduling considering global resource failures.

Authors: Hu, Xuejun Li, Jiaojiao Li, Feifei et al.

Source: Journal of the Operational Research Society; Oct2025, Vol. 76 Issue 10, p2112-2131, 20p

Subject Terms: PROJECT management, RESOURCE management, DECENTRALIZATION in management, MATHEMATICAL optimization, HEURISTIC algorithms, RESOURCE allocation

Coordinating V2V Energy Sharing for Electric Fleets via Multi-Granularity Modeling and Dynamic Spatiotemporal Matching.

Authors: Ye, Zhaonian Han, Qike Han, Kai et al.

Source: Sustainability (2071-1050); Oct2025, Vol. 17 Issue 19, p8783, 43p

Sequential Sample Average Majorization–Minimization.

Authors: Fort, Gersende Forbes, Florence Nguyen, Hien Duy

Source: Statistics & Computing; Feb2026, Vol. 36 Issue 1, p1-28, 28p

Fast and Robust Low-Rank Learning over Networks: A Decentralized Matrix Quantile Regression Approach.

Authors: Qiao, Nan Chen, Canyi

Source: Journal of Computational & Graphical Statistics; Oct-Dec2024, Vol. 33 Issue 4, p1214-1223, 10p

Subject Terms: QUANTILE regression, COMPUTER simulation, ALGORITHMS, NOISE

Byzantine-robust and efficient distributed sparsity learning: a surrogate composite quantile regression approach.

Authors: Chen, Canyi Zhu, Zhengtian

Source: Statistics & Computing; Oct2024, Vol. 34 Issue 5, p1-18, 18p

An integrated model for the production planning and the allocation of locations to items in a warehouse.

Authors: Arab Momeni, Mojtaba Jain, Vipul

Source: Annals of Operations Research; Aug2025, Vol. 351 Issue 1, p1185-1219, 35p

Subject Terms: WAREHOUSE management, PRODUCTION planning, COST control, MIXED integer linear programming, CAPACITY requirements planning, DECISION support systems, SUBGRADIENT methods, HEURISTIC

A projection-free method for solving convex bilevel optimization problems.

Authors: Giang-Tran, Khanh-Hung Ho-Nguyen, Nam Lee, Dabeen

Source: Mathematical Programming; Sep2025, Vol. 213 Issue 1/2, p907-940, 34p

Subject Terms: BILEVEL programming, CONVEX programming, NUMERICAL analysis, CONVEX functions, LINEAR programming, OPTIMIZATION algorithms

Neyman-Pearson Multi-Class Classification via Cost-Sensitive Learning.

Authors: Tian, Ye Feng, Yang

Source: Journal of the American Statistical Association; Jun2025, Vol. 120 Issue 550, p1164-1177, 14p

Subject Terms: DEFAULT (Finance), ERROR rates, ALGORITHMS, CLASSIFICATION, FEASIBILITY studies

Data-Driven Minimax Optimization with Expectation Constraints.

Authors: Yang, Shuoguang Li, Xudong Lan, Guanghui

Source: Operations Research; May/Jun2025, Vol. 73 Issue 3, p1345-1365, 21p

Subject Terms: ROBUST optimization, RECEIVER operating characteristic curves, FAIRNESS, NONSMOOTH optimization, MATHEMATICAL optimization, OPTIMIZATION algorithms, CONSTRAINED optimization

Practical Precoding via Asynchronous Stochastic Successive Convex Approximation.

Authors: Idrees, Basil M. Akhtar, Javed Rajawat, Ketan

Source: IEEE Transactions on Signal Processing; 11/15/2021, p4177-4191, 15p

Subject Terms: WIRELESS sensor networks, ALGORITHMS, CONVEX functions, SIGNAL processing, RESOURCE allocation

Contextual Learning with Online Convex Optimization: Theory and Application to Medical Decision-Making.

Authors: Keyvanshokooh, Esmaeil Zhalechian, Mohammad Shi, Cong et al.

Source: Management Science; Dec2025, Vol. 71 Issue 12, p10442-10464, 23p

Information FOMO: The Unhealthy Fear of Missing Out on Information—A Method for Removing Misleading Data for Healthier Models.

Authors: Pickering, Ethan Sapsis, Themistoklis P.

Source: Entropy; Oct2024, Vol. 26 Issue 10, p835, 16p

Subject Terms: ARTIFICIAL neural networks, KRIGING, MACHINE learning, DATA modeling, EXPERIMENTAL design

DISTRIBUTED OPTIMIZATION BASED ON GRADIENT TRACKING REVISITED: ENHANCING CONVERGENCE RATE VIA SURROGATION.

Authors: YING SUN SCUTARI, GESUALDO DANESHMAND, AMIR

Source: SIAM Journal on Optimization; 2022, Vol. 32 Issue 2, p354-385, 32p

Subject Terms: DISTRIBUTED algorithms, ARTIFICIAL satellite tracking, HESSIAN matrices, CONVEX functions, STATISTICS, SONATA

Algebraic surrogate‐based process optimization using Bayesian symbolic learning.

Authors: Forster, Tim Vázquez, Daniel Guillén‐Gosálbez, Gonzalo

Source: AIChE Journal; Aug2023, Vol. 69 Issue 8, p1-20, 20p

Subject Terms: SURROGATE-based optimization, PROCESS optimization, GLOBAL optimization, GAUSSIAN processes, CAPABILITIES approach (Social sciences)