中国矿业大学主页平台系统 wugang--Home-- Truncated and Sparse Power Methods with Partially Updating for Large and Sparse Higher-Order PageRank Problems

吴钢 Professor

吴钢，博士，教授，博士生导师，江苏省“青蓝工程”中青年学术带头人，江苏省“333工程”中青年科学技术带头人”，现任江苏省计算数学学会副理事长。主要研究方向：数据科学中的大规模矩阵计算；数据挖掘与统计计算；大数据相关快速算法与理论；机器学习中的快速算法与优化；人工智能的数学理论与快速算法；教育背景：1994年9月-1998年7月就读于山东大学数学与系统科学学院计算数学及其应用软件专业，获理学学士学位；1998年9...Detials

Recommended Ph.D.Supervisor Recommended MA Supervisor

Paper Publications Current position: Home > Scientific Research > Paper Publications

Truncated and Sparse Power Methods with Partially Updating for Large and Sparse Higher-Order PageRank Problems

Release time:2024-11-01 Hits:

DOI number:10.1007/s10915-023-02146-0
Affiliation of Author(s):数学学院
Funded by:国家自然科学基金项目
First Author:Huang, jun
Co-author:wugang
Indexed by:Journal paper
Document Code:5b5bb29492b875130192b951077006d7
Volume:卷: 95期: 1
ISSN No.:0885-7474
Translation or Not:no
Date of Publication:2023-04-01

Pre One: An Inverse-Free Block-SOR Method With Randomly Sampling for Temporal Multiplex PageRank Problems

Next One: A semi-randomized Kaczmarz method with simple random sampling for large-scale linear systems