Dynamic System Method for Solving Inverse Problems in Heat Conduction Equations
Junli Zhang;Tingting Sheng;School of Mathematics,Inner Mongolia University for the Nationalities;
Abstract: Dynamic system method is an effective method for solving algebraic system.It is not only be applied to well-posed operator equation but also is suitable for nonlinear and ill-posed operator equations.In this paper,dynamic system method is used to solve the inverse problem of heat conduction equations,and competes with classic Tikhonov regularization algorithms.The numerical tests demonstrate dynamic system method is a fast and simply algorithms.
Conference Time：
2014-12
- Series：
(A) Mathematics/ Physics/ Mechanics/ Astronomy
- Subject：
Mathematics
- Classification Code：
O175
- Mobile Reading
Read on your phone instantly
Step 1Scan QR Codes
"Mobile CNKI-CNKI Express" App
Step 2Open“CNKI Express”
and click the scan icon in the upper left corner of the homepage.
Step 3
Scan QR Codes
Read this article on your phone.
- Download
- Online Reading
- AI Summary
Download the mobile appuse the app to scan this coderead the article.
Tips: Please download CAJViewer to view CAJ format full text.
Download: 3 Page: 49-53 Pagecount: 5 Size: 248k
Citation Network
Related Literature
- Similar Article
- Reader Recommendation
- Associated Author
- [1]A Study on the Identification of Glass Artefacts Based on Multiple Logistic Regression[A]. Yujie Han.Proceedings of 8th International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation （CDMMS 2023）[C]. 2023
- [2]A Low-complexity Tensor Completion Scheme Combining Matrix Factorization and Smoothness[A]. Leiming Tang,Chuang Yang,Zheng Wang,Xiaofei Zhang.Proceedings of 4th International Conference on Wireless Communications and Applications（ICWCA 2020）PartⅠ[C]. 2020
- [3]Exploratory Mean-Variance Portfolio Selection Problem With Random Exit Time[A]. Yiting Wei.第34届中国控制与决策会议论文集（9）[C]. 2022
- [4]The Study on Inversion of Wave Equation Based on Adaptive Homotopic Regularization Method[A]. Jingying Wang,GuoFeng Feng,Yunfei Zhu,Bing Jia,Yunfei Chen,Rui Wang.Proceedings of the 5th International Conference on Communication, Image and Signal Processing （CCISP 2020）[C]. 2020
- [5]Maximum Information Gain Relief Feature Weighting[A]. Qian Zhang,Jiwei Jia,Jian Ding,Haopeng Kuang,Zehan Chen.Proceedings of the 2019 International Conference on Artificial Intelligence and Computer Science（AICS 2019）[C]. 2019
- [6]Optimization Solvers for Convex L1-Regularization Problems[A]. Tingwei Huang.Proceedings of 2019 International Conference on Intelligent Transportation,Big Data ＆ Smart City（ICITBS 2019）[C]. 2019
- [7]A Quotient Function Method for Selecting Adaptive Dynamic Load Identification Optimal Regularization Parameter[A]. Yu-ping FENG,Wei GAO.Proceedings of 2019 4th International Conference on Automation,Mechanical and Electrical Engineering（AMEE 2019）[C]. 2019
- [8]Bargaining in Dynamic Games[A]. Leon A.Petrosjan.Proceedings Volume of International Congress of Mathematicians 2002 Satellite Conference on Game Theory and Applications（ICM 2002 GTA）[C]. 2002
- [9]Lanczos preconditioning of Lavrentiev regularization for discrete ill-posed problems[A]. Jun Liu,Ting-Zhu Huang,Xi Le Zhao.Proceeding of the Sixth International Conference of Matrices and Operators Volume 2[C]. 2011
- [10]Newton-Type Method with Double Regularization Parameters for Nonlinear Ⅲ-Posed Problems[A]. Zehong Meng School of Mathematics and Statistics Zhejiang University Of Finance ＆ Economics 310018 Hangzhou,China Zhenyu Zhao College of Science Guangdong Ocean University 524088 Zhanjiang,China.Proceedings of 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems（ICIS2009） Vol.2[C]. 2009