Model trust-region approach for nonlinear least-squares

Author

Homobono Adrian B. Ortega

Date

3-1994

Degree

Bachelor of Science in Applied Mathematics

College

College of Arts and Sciences (CAS)

Adviser/Committee Chair

Norberto R. Navarrete Jr.

Abstract

This study involves the application of two model trust-region type of algorithms, the Hook method and the Dogleg method to nonlinear least-squares. To evaluate their performance, computer codes of these two methods were developed together with that of the Levenberg-Marquardt method for comparison purposes. The Hook method and the Dogleg method were found to be superior to the Levenberg-Marquardt method in terms of the number of iterations required to solve the test problems for a given accuracy. The Dogleg was able to solve almost all the test problems while the Hook method and the Levenberg-Marquardt method solved a lesser number of test problems.

Language

English

Location

UPLB Main Library Special Collections Section (USCS)

Call Number

Thesis

Recommended Citation

Ortega, Homobono Adrian B., "Model trust-region approach for nonlinear least-squares" (1994). Undergraduate Theses. 10070.
https://www.ukdr.uplb.edu.ph/etd-undergrad/10070

Document Type

Thesis