Results 111 to 120 of about 12,439,104 (289)

A Simplified Algorithm for a Full-Rank Update Quasi-Newton Method

AppliedMath
An efficient linearization method for solving a system of nonlinear equations was developed, showing good stability and convergence properties. It uses an unconventional and simple strategy to improve the performance of classic methods by a full-rank ...
Peter Berzi
doaj   +1 more source

Distributed k‐WTA Network for Multi‐Manipulator Competition With Experimental Verifications

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT In this article, a new distributed k $k$‐winner‐take‐all (Dk $k$‐WTA) network is designed and used to construct a dynamic allocation scheme for competitive coordination tasks of multiple manipulators as embodied agents. The scheme is constructed based on the following two aspects. On one hand, with reference to a perspective that the Laplacian
Shengkai Sun, Yutong Li, Jianfeng Lv
wiley   +1 more source

QNOMP: A Quasi-Newton-Based Joint Multipath Optimization Method for Super-Resolution Channel Estimation and Extrapolation

IEEE Access
Channel estimation and extrapolation are key challenges in massive multiple-input multiple-output communications. In this paper, we propose a quasi-Newton-based joint multipath optimization approach called Quasi-Newton Orthogonal Matching Pursuit (QNOMP)
Yi Zeng, Mingguang Han, Xiaoguang Li, Tiejun Li   +3 more
doaj   +1 more source

A Hybrid of Quasi-Newton Method with CG Method for Unconstrained Optimization

, 2019
The quasi-Newton is a well-known method for solving small to medium-scale unconstrained optimization problems due to its simplicity and convergence. This leads to many modifications to improve its performance, and one of them is by hybridizing it with ...
Sulaiman, I.M, Rivaie, M, Aini, N., Mustafa, Mamat   +3 more
core  

Energy Flows Balance of Electric‐Heating Interconnected Microgrids Under Grid‐Forming Converter Integration Based on Heterogeneous Graph Convolutional Network

Energy Internet, EarlyView.
ABSTRACT The combination of electric‐heating interconnected microgrids (EHIMs) with grid‐forming converters (GFMCs) offers a highly promising approach to improving energy management within decentralised energy systems. Despite its potential, precisely modelling and analysing energy flow in such systems remains a considerable challenge due to the ...
Ji Li, Jinduo Yang, Yang Kou, Qingyuan Zhang, Xiao Hu, Yang Gao, Fei Fei Li, Wei Le Liang, Yiyan Li, Ming Li, Lei Xu, Kepaiyitulla Tursun, Yan Qing Peng, Ying Li Huo, Yun Shan Wang, Ze Zhen Zhang   +15 more
wiley   +1 more source

Quasi-Newton Methods With Derivatives

, 1995
When the Jacobian of a nonlinear system of equations is fully available, the main drawback for the application of Newton's method is the linear algebra work associated with its basic iteration.
J.M. Martínez
core  

Comparisons between Newton and Quasi-Newton method in solving unconstrained optimization problems / Naznin Faiqa Khirul Fozi & Hanis Sofia Mohd Rodi [PDF]

, 2019
Newton and Quasi-Newton methods are widely used in solving unconstrained optimization problems. The solution to optimization problems are known as local optimum solutions and global minimum solutions. For Newton method, if the initial points are far from
Mohd Rodi, Hanis Sofia, Khirul Fozi, Naznin Faiqa   +1 more
core  

Large‐Scale Applications of Plasma Technologies: Progresses and Challenges

High Voltage, EarlyView.
ABSTRACT Plasma technologies convert electrical power into energetic electrons, ions, reactive species, radiation and heat, thereby breaking through the bottleneck of purely thermal or chemical routes and bringing impressive changes to our world. This roadmap reviews the progress and challenges of plasma technologies from a large‐scale and application ...
Pankaj Attri, Liuyang Bai, Dmitry Batomunkuev, Xueke Che, Guoxing Chen, Zhitong Chen, Wei Cui, Liguang Dou, Zhi Fang, Yangyang Fu, Fausto Gallucci, Yiming Guo, Bangdou Huang, Yinghong Li, Sirui Li, Hua Liang, Liangliang Lin, Dingxin Liu, Xiangyang Liu, Xinpei Lu, Ruonan Ma, Lanlan Nie, Guanghui Niu, Yuge Ouyang, Tao Shao, Jing Sun, Yong Tang, Xin Tu, Sergey P. Vashchenko, Hang Wang, Xianjie Wang, Anke Weidenkaff, Yun Wu, Haohan Xie, Shaojun Xu, Zongxian Yang, Fangli Yuan, Cheng Zhang, Hao Zhang, Jishen Zhang, Shuai Zhang, Yejian Zhang, Zhe Zhang, Zhibo Zhang, Peng Zhao, Shicheng Zhao, Linlin Zhong, Renwu Zhou, Zhenhua Zhou, Xi Zhu, Yifei Zhu, Haohua Zong   +51 more
wiley   +1 more source

A globally and superlinearly convergent quasi-Newton method for general box constrained variational inequalities without smoothing approximation

General variational inequalities, Quasi-Newton method, Global convergence, Superlinear convergence,
Xuebin Wang, Meiyan Li, Changfeng Ma
core   +1 more source

The law of AI knowledge distillation

American Business Law Journal, EarlyView.
Abstract Knowledge distillation—the practice of training a compact student model on the outputs of a larger teacher model—has emerged as the fastest‐growing technique for replicating and disseminating frontier artificial intelligence (AI) capabilities.
Taorui Guan
wiley   +1 more source