Results 41 to 50 of about 9,520,135 (306)

Non-convex scenario optimization

Mathematical Programming
Abstract Scenario optimization is an approach to data-driven decision-making that has been introduced some fifteen years ago and has ever since then grown fast. Its most remarkable feature is that it blends the heuristic nature of data-driven methods with a rigorous theory that allows one to gain factual, reliable, insight in the
Simone Garatti, Marco C. Campi
openaire   +3 more sources

Online Non-convex Optimization with Long-term Non-convex Constraints

, 2023
A novel Follow-the-Perturbed-Leader type algorithm is proposed and analyzed for solving general long-term constrained optimization problems in an online manner, where the target and constraint functions are oblivious adversarially generated and not necessarily convex. The algorithm is based on Lagrangian reformulation and innovatively integrates random
Pan, Shijie, Xu, Jianyu, Huang, Wenjie
openaire   +2 more sources

Fault Estimation Filter Design for Two-Dimensional Fornasini-Marchesini Dynamical Systems in Low-Frequency Domain

IEEE Access, 2021
This paper discusses the problem of fault estimation for two-dimensional (2-D) Fornasini-Marchesini (FM) dynamical systems. The objective of this paper is to design a fault estimation filter to reconstruct the characteristics of faults in low-frequency ...
Xiao-Xue Wu, Yunxia Xia, He-Ping Liu
doaj   +1 more source

A Sparse Representation-Based Deployment Method for Optimizing the Observation Quality of Camera Networks

Sensors, 2013
Deployment is a critical issue affecting the quality of service of camera networks. The deployment aims at adopting the least number of cameras to cover the whole scene, which may have obstacles to occlude the line of sight, with expected observation ...
Guangming Shi, Xiaotian Wang, Fei Qi, Chang Wang   +3 more
doaj   +1 more source

Sample-and-Bound for Non-convex Optimization

Proceedings of the AAAI Conference on Artificial Intelligence
Standard approaches for global optimization of non-convex functions, such as branch-and-bound, maintain partition trees to systematically prune the domain. The tree size grows exponentially in the number of dimensions. We propose new sampling-based methods for non-convex optimization that adapts Monte Carlo Tree Search (MCTS) to improve efficiency ...
Yaoguang Zhai, Zhizhen Qin, Sicun Gao
openaire   +4 more sources

Research on Energy Efficiency of Wireless Powered Communication Network in Cognitive Radio Environment [PDF]

Jisuanji gongcheng, 2019
In order to improve the energy efficiency of Wireless Powered Communication Network(WPCN),a multiple signal source acquisition model in cognitive radio environment is established.Because the model optimization problem is a non-convex problem,it is ...
FENG Gang,QIN Xizhong,JIA Zhenhong,NIU Hongmei,WANG Zhehui
doaj   +1 more source

Isotone Optimization in R: Pool-Adjacent-Violators Algorithm (PAVA) and Active Set Methods [PDF]

, 2009
In this paper we give a general framework for isotone optimization. First we discuss a generalized version of the pool-adjacent-violators algorithm (PAVA) to minimize a separable convex function with simple chain constraints.
de Leeuw, Jan, Kurt Hornik, Mair, Patrick, Patrick Mair, Jan de Leeuw, Hornik, Kurt, Leeuw, Jan de   +6 more
core   +1 more source

RSS-TOA based localization algorithm in non-line-of-sight environment

Dianxin kexue, 2019
The existence of non-line-of-sight (NLOS) error can degrade the positioning performance in wireless sensor network localization system,especially in indoor localization.To overcome the localization error caused by NLOS propagation,a localization ...
Zhigang LU, ·ouming LI, Xianghong JIA, Shengming CHANG, Xiaoli WANG   +4 more
doaj   +2 more sources

Optimal Energy-Delay in Energy Harvesting Wireless Sensor Networks with Interference Channels

Sensors, 2019
In this work, we investigate the capacity allocation problem in the energy harvesting wireless sensor networks (WSNs) with interference channels. For the fixed topologies of data and energy, we formulate the optimization problem when the data flow ...
Dongbin Jiao, Liangjun Ke, Shengbo Liu, Felix T.S. Chan   +3 more
doaj   +1 more source

The Lupus Damage Index Revision Program: Results From the Item Generation and Reduction Phases

Arthritis Care &Research, EarlyView.
Objective A data‐driven and expert/patient consensus‐based project to develop a revised Systemic Lupus International Collaborating Clinics (SLICC)/American College of Rheumatology (ACR) Damage Index (SDI) is under way supported by SLICC, ACR, and the Lupus Foundation of America. Our objective is to report the item generation and reduction phase results
Burak Kundakci, Megan R. W. Barber, Ann E. Clarke, Sindhu R. Johnson, Anselm Mak, Hermine I. Brunner, Murat Inanc, Rosalind Ramsey‐Goldman, Guillermo Ruiz‐Irastorza, Ellen M. Ginzler, John G. Hanly, Alexandra Legge, Cynthia Aranow, Laurent Arnaud, Nathalie Costedoat‐Chalumeau, Dafna D. Gladman, Søren Jacobsen, Michelle Petri, Clovis A. Silva, Évelyne Vinet, Alexandre E. Voskuyl, SDI Revision Literature Review Groups, SDI Revision Delphi Panel, SDI Revision Item Reduction Committee, SDI Revision Clinical Domain Groups, Ian N. Bruce   +25 more
wiley   +1 more source