Nonlinear Conjugate Gradient Methods with Sufficient Descent Condition for Large-Scale Unconstrained Optimization
نویسندگان
چکیده
منابع مشابه
Nonlinear Conjugate Gradient Methods with Sufficient Descent Condition for Large-Scale Unconstrained Optimization
Two nonlinear conjugate gradient-type methods for solving unconstrained optimization problems are proposed. An attractive property of the methods, is that, without any line search, the generated directions always descend. Under some mild conditions, global convergence results for both methods are established. Preliminary numerical results show that these proposed methods are promising, and comp...
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ژورنال
عنوان ژورنال: Mathematical Problems in Engineering
سال: 2009
ISSN: 1024-123X,1563-5147
DOI: 10.1155/2009/243290