AbstractFirst, a general framework for the over-relaxed A-proximal point algorithm based on the A-maximal monotonicity is introduced, and second it is applied to the approximation solvability of a general class of nonlinear inclusion problems using the generalized resolvent operator technique. The over-relaxed A-proximal point algorithm is of interest in the sense that it is quite application-oriented, but nontrivial in nature. The results obtained are general in nature
A general framework for the Eckstein-Bertsekas proximal point algorithm, based on the notion of (H, ...
A generalization to Rockfellar\u27s theorem (1976) in the context of approximating a solution to a g...
Based on the generalized Firm nonexpansiveness of the resolvent operator, the convergence analysis o...
AbstractFirst the general framework for a generalized over-relaxed proximal point algorithm using th...
AbstractFirst, a general framework for the over-relaxed A-proximal point algorithm based on the A-ma...
The purpose of this paper is (1) a general nonlinear mixed set-valued inclusion framework for the o...
A general framework for a hybrid proximal point algorithm using the notion of (A, eta)-monotonicity ...
AbstractA new relaxed algorithmic procedure based on the notion of A-maximal relaxed monotonicity is...
AbstractA general framework for a hybrid proximal point algorithm using the notion of (A,η)-monotoni...
We glance at recent advances to the general theory of maximal (set-valued) monotone mappings and the...
We glance at recent advances to the general theory of maximal set-valued monotone mappings and thei...
A general framework for the Eckstein-Bertsekas proximal point algorithm, based on the notion of (H, ...
A general framework for the Eckstein-Bertsekas proximal point algorithm, based on the notion of (H, ...
AbstractThis paper is to illustrate that the main result of the paper [R.U. Verma, Generalized over-...
AbstractA generalization to Rockafellar’s theorem (1976) in the context of approximating a solution ...
A general framework for the Eckstein-Bertsekas proximal point algorithm, based on the notion of (H, ...
A generalization to Rockfellar\u27s theorem (1976) in the context of approximating a solution to a g...
Based on the generalized Firm nonexpansiveness of the resolvent operator, the convergence analysis o...
AbstractFirst the general framework for a generalized over-relaxed proximal point algorithm using th...
AbstractFirst, a general framework for the over-relaxed A-proximal point algorithm based on the A-ma...
The purpose of this paper is (1) a general nonlinear mixed set-valued inclusion framework for the o...
A general framework for a hybrid proximal point algorithm using the notion of (A, eta)-monotonicity ...
AbstractA new relaxed algorithmic procedure based on the notion of A-maximal relaxed monotonicity is...
AbstractA general framework for a hybrid proximal point algorithm using the notion of (A,η)-monotoni...
We glance at recent advances to the general theory of maximal (set-valued) monotone mappings and the...
We glance at recent advances to the general theory of maximal set-valued monotone mappings and thei...
A general framework for the Eckstein-Bertsekas proximal point algorithm, based on the notion of (H, ...
A general framework for the Eckstein-Bertsekas proximal point algorithm, based on the notion of (H, ...
AbstractThis paper is to illustrate that the main result of the paper [R.U. Verma, Generalized over-...
AbstractA generalization to Rockafellar’s theorem (1976) in the context of approximating a solution ...
A general framework for the Eckstein-Bertsekas proximal point algorithm, based on the notion of (H, ...
A generalization to Rockfellar\u27s theorem (1976) in the context of approximating a solution to a g...
Based on the generalized Firm nonexpansiveness of the resolvent operator, the convergence analysis o...