An inertial method for solving generalized split feasibility problems over the solution set of monotone variational inclusions
In this paper, we propose a new inertial extrapolation method for solving the generalized
split feasibility problems over the solution set of monotone variational inclusion problems in …
split feasibility problems over the solution set of monotone variational inclusion problems in …
[HTML][HTML] Decomposition aided attention-based recurrent neural networks for multistep ahead time-series forecasting of renewable power generation
Renewable energy plays an increasingly important role in our future. As fossil fuels become
more difficult to extract and effectively process, renewables offer a solution to the ever …
more difficult to extract and effectively process, renewables offer a solution to the ever …
A new method for solving split variational inequality problems without co-coerciveness
In solving the split variational inequality problems in real Hilbert spaces, the co-coercive
assumption of the underlying operators is usually required and this may limit its usefulness …
assumption of the underlying operators is usually required and this may limit its usefulness …
Strong convergence of self-adaptive inertial algorithms for solving split variational inclusion problems with applications
In this paper, four self-adaptive iterative algorithms with inertial effects are introduced to
solve a split variational inclusion problem in real Hilbert spaces. One of the advantages of …
solve a split variational inclusion problem in real Hilbert spaces. One of the advantages of …
Convergence analysis of a new Bregman extragradient method for solving fixed point problems and variational inequality problems in reflexive Banach spaces
S Hu, Y Wang, QL Dong - Journal of Scientific Computing, 2023 - Springer
We mainly introduce a new self-adaptive extragradient method by using the inertial
technique for solving variational inequality problems of pseudomonotone operators and …
technique for solving variational inequality problems of pseudomonotone operators and …
Inertial iterative algorithms for split variational inclusion and fixed point problems
This paper aims to present two inertial iterative algorithms for estimating the solution of split
variational inclusion (S p VI s P) and its extended version for estimating the common solution …
variational inclusion (S p VI s P) and its extended version for estimating the common solution …
A unified scheme for solving split inclusions with applications
In this article, we propose an iterative scheme for solving a generalized split common null
point problem. The iterative method uses self‐adaptive stepsizes that do not depend on the …
point problem. The iterative method uses self‐adaptive stepsizes that do not depend on the …
Yosida approximation iterative methods for split monotone variational inclusion problems
In this paper, we present two iterative algorithms involving Yosida approximation operators
for split monotone variational inclusion problems (SpMVIP). We prove the weak and strong …
for split monotone variational inclusion problems (SpMVIP). We prove the weak and strong …
An Iterative method for split equality variational inequality problems for non-Lipschitz pseudomonotone map**s
The purpose of this paper is to introduce an algorithm for approximating solutions of split
equality variational inequality problems. A convergence theorem of the proposed algorithm …
equality variational inequality problems. A convergence theorem of the proposed algorithm …
A new Bregman projection method with a self-adaptive process for solving variational inequality problem in reflexive Banach spaces
S Hu, Y Wang, P **g, QL Dong - Optimization Letters, 2023 - Springer
In this paper, we mainly propose a new Bregman projection method with a different self-
adaptive process for solving variational inequalities in a real reflexive Banach space …
adaptive process for solving variational inequalities in a real reflexive Banach space …