کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4640585 1341280 2010 23 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Nonlinear conjugate gradient methods with structured secant condition for nonlinear least squares problems
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
Nonlinear conjugate gradient methods with structured secant condition for nonlinear least squares problems
چکیده انگلیسی

In this paper, we deal with conjugate gradient methods for solving nonlinear least squares problems. Several Newton-like methods have been studied for solving nonlinear least squares problems, which include the Gauss–Newton method, the Levenberg–Marquardt method and the structured quasi-Newton methods. On the other hand, conjugate gradient methods are appealing for general large-scale nonlinear optimization problems. By combining the structured secant condition and the idea of Dai and Liao (2001) [20], the present paper proposes conjugate gradient methods that make use of the structure of the Hessian of the objective function of nonlinear least squares problems. The proposed methods are shown to be globally convergent under some assumptions. Finally, some numerical results are given.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Computational and Applied Mathematics - Volume 234, Issue 2, 15 May 2010, Pages 375–397
نویسندگان
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