Adaptive label correlation based asymmetric discrete hashing for cross-modal retrieval
Hashing methods have captured much attention for cross-modal retrieval in recent years.
Most existing approaches mainly focus on preserving the semantic similarity across …
Most existing approaches mainly focus on preserving the semantic similarity across …
Modified inertial Mann algorithm and inertial CQ-algorithm for nonexpansive mappings
In this article, we first introduce a modified inertial Mann algorithm and an inertial CQ-
algorithm by combining the accelerated Mann algorithm and the CQ-algorithm with the …
algorithm by combining the accelerated Mann algorithm and the CQ-algorithm with the …
Modified inertial subgradient extragradient method with self adaptive stepsize for solving monotone variational inequality and fixed point problems
In this paper, we study a classical monotone and Lipschitz continuous variational inequality
and fixed point problems defined on a level set of a convex function in the setting of Hilbert …
and fixed point problems defined on a level set of a convex function in the setting of Hilbert …
Accelerated Alternating Direction Method of Multipliers: An Optimal O(1 / K) Nonergodic Analysis
H Li, Z Lin - Journal of Scientific Computing, 2019 - Springer
Abstract The Alternating Direction Method of Multipliers (ADMM) is widely used for linearly
constrained convex problems. It is proven to have an o (1/K) o (1/K) nonergodic …
constrained convex problems. It is proven to have an o (1/K) o (1/K) nonergodic …
Inertial extragradient method via viscosity approximation approach for solving equilibrium problem in Hilbert space
In this paper, we propose a new viscosity type inertial extragradient method with Armijo line-
search technique for approximating a common solution of equilibrium problem with pseudo …
search technique for approximating a common solution of equilibrium problem with pseudo …
Proximal alternating-direction-method-of-multipliers-incorporated nonnegative latent factor analysis
High-dimensional and incomplete (HDI) data subject to the nonnegativity constraints are
commonly encountered in a big data-related application concerning the interactions among …
commonly encountered in a big data-related application concerning the interactions among …
[HTML][HTML] Inertial extragradient algorithms for strongly pseudomonotone variational inequalities
DV Thong, D Van Hieu - Journal of Computational and Applied …, 2018 - Elsevier
The purpose of this paper is to study and analyze two different kinds of inertial type iterative
methods for solving variational inequality problems involving strongly pseudomonotone and …
methods for solving variational inequality problems involving strongly pseudomonotone and …
Iterative method with inertial for variational inequalities in Hilbert spaces
Y Shehu, P Cholamjiak - Calcolo, 2019 - Springer
Strong convergence property for Halpern-type iterative method with inertial terms for solving
variational inequalities in real Hilbert spaces is investigated under mild assumptions in this …
variational inequalities in real Hilbert spaces is investigated under mild assumptions in this …
A strong convergence result involving an inertial forward–backward algorithm for monotone inclusions
Our interest in this paper is to prove a strong convergence result for finding a zero of the sum
of two monotone operators, with one of the two operators being co-coercive using an …
of two monotone operators, with one of the two operators being co-coercive using an …
Inertial subgradient extragradient algorithms with line-search process for solving variational inequality problems and fixed point problems
In this paper, basing on the subgradient extragradient method and inertial method with line-
search process, we introduce two new algorithms for finding a common element of the …
search process, we introduce two new algorithms for finding a common element of the …