Next Article in Journal
Non-Linear Analysis of Stress and Strain of Concrete-Faced Rockfill Dam for Sequential Impoundment Process
Previous Article in Journal
A Generalized Cross Validation Method for the Inverse Problem of 3-D Maxwell's Equation
Article Menu

Article Versions

Export Article

Open AccessArticle
Math. Comput. Appl. 2010, 15(5), 790-795; doi:10.3390/mca15050790

Parameter Identification for Nonlinear Ill-Posed Problems

Department of Mathematics, Harbin Institute of Technology, 150001 Harbin, P.R. China
*
Author to whom correspondence should be addressed.
Received: 31 December 2010 / Accepted: 31 December 2010 / Published: 31 December 2010
Download PDF [95 KB, uploaded 8 April 2016]

Abstract

Since the classical iterative methods for solving nonlinear ill-posed problems are locally convergent, this paper constructs a robust and widely convergent method for identifying parameter based on homotopy algorithm, and investigates this method’s convergence in the light of Lyapunov theory. Furthermore, we consider 1-D elliptic type equation to testify that the homotopy regularization can identify the parameter effectively.
Keywords: Parameter Identification; Ill-Posed; Homotopy Regularization; Homotopy Parameter Parameter Identification; Ill-Posed; Homotopy Regularization; Homotopy Parameter
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Li, L.; Han, B. Parameter Identification for Nonlinear Ill-Posed Problems. Math. Comput. Appl. 2010, 15, 790-795.

Show more citation formats Show less citations formats

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Math. Comput. Appl. EISSN 2297-8747 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top