## Abstract

In this paper, we propose a new extragradient method consisting of the hybrid steepest descent method, a single projection method and an Armijo line searching the technique for approximating a solution of variational inequality problem and finding the fixed point of demicontractive mapping in a real Hilbert space. The essence of this algorithm is that a single projection is required in each iteration and the step size for the next iterate is determined in such a way that there is no need for a prior estimate of the Lipschitz constant of the underlying operator. We state and prove a strong convergence theorem for approximating common solutions of variational inequality and fixed points problem under some mild conditions on the control sequences. By casting the problem into an equivalent problem in a suitable product space, we are able to present a simultaneous algorithm for solving the split equality problem without prior knowledge of the operator norm. Finally, we give some numerical examples to show the efficiency of our algorithm over some other algorithms in the literature.

Original language | English |
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Article number | 38 |

Journal | Computational and Applied Mathematics |

Volume | 39 |

Issue number | 1 |

DOIs | |

Publication status | Published - 1 Mar 2020 |

Externally published | Yes |

## Keywords

- Armijo line search
- Extragradient method
- Hyrbid-steepest descent
- Split equality problem
- Variational inequality