Abstract The subgradient projection iteration is a classical method for solving a convex inequality. Motivated by works of Polyak and of Crombez, we present and analyze a more general method for finding a fixed point of a cutter, provided that the fixed point set has nonempty interior. Our assumptions on the parameters are more general than existing ones. Various limiting examples and comparisons are provided
For solving constrained minimization problem propose a cutting plane method which belongs to a class...
We study finite convergence of the modified cyclic subgradient pro-jections (MCSP) algorithm for the...
Abstract The convex feasibility problem (CFP) is at the core of the modeling of many problems in var...
The subgradient projector plays an important role in convex optimization, since the subgradient proj...
The block-iterative projections (BIP) method of Aharoni and Censor [Block-iterative projection metho...
We study the subgradient projection method for convex optimization with Brannlund 's level cont...
AbstractUsing only easily computable portions of certain ε-subdifferentials an implementable converg...
Abstract. We propose a new subgradient method for the minimization of nonsmooth convex functions ove...
Abstract The projected subgradient method for constrained minimization repeatedly interlaces subgrad...
Abstract. This paper develops convergence theory of the gradient projection method by Calamai and Mo...
When applied to an unconstrained minimization problem with a convex objective, the steepest descent ...
© 2016, Allerton Press, Inc.For a convex programming problem we propose a solution method which belo...
Copyright © by the paper's authors.An algorithm is suggested for solving a convex programming proble...
© 2018, Pleiades Publishing, Ltd. We propose a method which belongs to a class of cutting methods fo...
We study some methods of subgradient projections for solving a convex feasibility problem with gener...
For solving constrained minimization problem propose a cutting plane method which belongs to a class...
We study finite convergence of the modified cyclic subgradient pro-jections (MCSP) algorithm for the...
Abstract The convex feasibility problem (CFP) is at the core of the modeling of many problems in var...
The subgradient projector plays an important role in convex optimization, since the subgradient proj...
The block-iterative projections (BIP) method of Aharoni and Censor [Block-iterative projection metho...
We study the subgradient projection method for convex optimization with Brannlund 's level cont...
AbstractUsing only easily computable portions of certain ε-subdifferentials an implementable converg...
Abstract. We propose a new subgradient method for the minimization of nonsmooth convex functions ove...
Abstract The projected subgradient method for constrained minimization repeatedly interlaces subgrad...
Abstract. This paper develops convergence theory of the gradient projection method by Calamai and Mo...
When applied to an unconstrained minimization problem with a convex objective, the steepest descent ...
© 2016, Allerton Press, Inc.For a convex programming problem we propose a solution method which belo...
Copyright © by the paper's authors.An algorithm is suggested for solving a convex programming proble...
© 2018, Pleiades Publishing, Ltd. We propose a method which belongs to a class of cutting methods fo...
We study some methods of subgradient projections for solving a convex feasibility problem with gener...
For solving constrained minimization problem propose a cutting plane method which belongs to a class...
We study finite convergence of the modified cyclic subgradient pro-jections (MCSP) algorithm for the...
Abstract The convex feasibility problem (CFP) is at the core of the modeling of many problems in var...