کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4958818 1364836 2017 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A class of modified FR conjugate gradient method and applications to non-negative matrix factorization
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
A class of modified FR conjugate gradient method and applications to non-negative matrix factorization
چکیده انگلیسی
Conjugate gradient method, as an efficient method, is used to solve unconstrained optimization problems. In this paper, we propose a class of modified Fletcher-Reeves conjugate gradient method, with Armijo-type line search, which generates the direction is descent for the objective function. Under mild conditions, we give that the proposed method is descent and globally convergent. Moreover, the method is applied to nonnegative matrix factorization, and the experimental results demonstrate the validity of the proposed method.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Mathematics with Applications - Volume 73, Issue 2, 15 January 2017, Pages 270-276
نویسندگان
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