شماره ركورد كنفرانس :
5432
عنوان مقاله :
A Hybrid Conjugate Gradient Method for unconstrained optimization
پديدآورندگان :
lotfi Mina minalotfi@modares.ac.ir Department of Applied Mathematics, Faculty of Mathematical Sciences, Tarbiat Modares University , Hosseini S. Mohammad hossei_m@modares.ac.ir Department of Applied Mathematics, Faculty of Mathematical Sciences, Tarbiat Modares University
كليدواژه :
Conjugate gradient method , sufficient descent , unconstrained optimization , global convergence
عنوان كنفرانس :
شانزدهمين كنفرانس بين المللي انجمن ايراني تحقيق در عمليات
چكيده فارسي :
In this paper, we propose a new hybrid conjugate gradient method for unconstrained optimization. As a remarkable feature, the search directions of the proposed method satisfy the sufficient descent condition, independently of line searches. Under some standard assumptions, the global convergence of the proposed method is proved for general functions. Numerical comparisons on some test problems indicate the efficiency and robustness of the proposed method in practice.
