نمایش نتایج جستجو برای
کلمات کلیدی: global convergence
موارد یافت شده: 24
1 - A Nonmonotone Hestenes ans Stiefel Conjugate Gradient Algorithm for Nonsmooth Convex Optimization (چکیده)2 - An adaptive nonmonotone global Barzilai–Borwein gradient method for unconstrained optimization (چکیده)
3 - On the nonmonotonicity degree of nonmonotone line searches (چکیده)
4 - An Adaptive Three-Term Conjugate Gradient Method with Sufficient Descent Condition and Conjugacy Condition (چکیده)
5 - A Linear Hybridization of the Hestenes–Stiefel Method and the Memoryless BFGS Technique (چکیده)
6 - A class of descent four–term extension of the Dai–Liao conjugate gradient method based on the scaled memoryless BFGS update (چکیده)
7 - Two Adaptive Dai–Liao Nonlinear Conjugate Gradient Methods (چکیده)
8 - An extended Dai-Liao conjugate gradient method with global convergence for nonconvex functions (چکیده)
9 - A class of adaptive Dai–Liao conjugate gradient methods based on the scaled memoryless BFGS update (چکیده)
10 - Some new three-term Hestenes–Stiefel conjugate gradient methods with affine combination (چکیده)
11 - A descent hybrid modification of the Polak–Ribiere–Polyak conjugate gradient method (چکیده)
12 - An adaptive Hager-Zhang conjugate gradient method (چکیده)
13 - Descent Symmetrization of the Dai–Liao Conjugate Gradient Method (چکیده)
14 - A New Three–Term Conjugate Gradient Method with Descent Direction for Unconstrained Optimization (چکیده)
15 - An extended three-term conjugate gradient method with sufficient descent property (چکیده)
16 - Two modified three-term conjugate gradient methods with sufficient descent property (چکیده)
17 - A modified scaled conjugate gradient method with global convergence for nonconvex functions (چکیده)
18 - Two optimal Dai–Liao conjugate gradient methods (چکیده)
19 - A hybridization of the Polak-Ribière-Polyak and Fletcher-Reeves conjugate gradient methods (چکیده)
20 - The Dai–Liao nonlinear conjugate gradient method with optimal parameter choices (چکیده)
21 - Two hybrid nonlinear conjugate gradient methods based on a modified secant equation (چکیده)
22 - A Novel Recurrent Neural Network for Solving Mlcps and its Application to Linear and Quadratic Programming (چکیده)
23 - Two new conjugate gradient methods based on modified secant equations (چکیده)
24 - A novel recurrent neural network based of NCP function for solving convex quadratic programming problems (چکیده)
