Search
Search Results
-
A modified inertial Tseng technique of Bilevel variational inequality problem with application to image processing
In this paper, we propose and study a new modified Tseng inertial iterative technique for solving Bilevel quasimonotone Variational Inequality...
-
Self-adaptive Technique with Double Inertial Steps for Inclusion Problem on Hadamard Manifolds
In this article, we investigate monotone and Lipschitz continuous variational inclusion problem in the settings of Hadamard manifolds. We propose a...
-
Extragradient method with inertial iterative technique for pseudomonotone split equilibrium and fixed point problems of new map**s
We develop an inertial iterative algorithm using a new extragradient method to find the common solution for pseudomonotone split equilibrium and...
-
Relaxed-inertial derivative-free algorithm for systems of nonlinear pseudo-monotone equations
Solving systems of nonlinear equations has evolved into an active research field, with numerous iterative methods being proposed. Notably, iterative...
-
An effective inertial-relaxed CGPM for nonlinear monotone equations
In this paper, we propose an effective inertial-relaxed CGPM by considering the Armijo line search technique proposed by Amini and Kamandi (Numer...
-
Sequential inertial linear ADMM algorithm for nonconvex and nonsmooth multiblock problems with nonseparable structure
The alternating direction method of multipliers (ADMM) has been widely used to solve linear constrained problems in signal processing, matrix...
-
An inertial ADMM for a class of nonconvex composite optimization with nonlinear coupling constraints
In this paper, we propose an inertial alternating direction method of multipliers for solving a class of non-convex multi-block optimization problems...
-
An Inertial Spectral CG Projection Method Based on the Memoryless BFGS Update
Combining the derivative-free projection with inertial technique, we propose a hybrid inertial spectral conjugate gradient projection method for...
-
A New Inertial Self-adaptive Gradient Algorithm for the Split Feasibility Problem and an Application to the Sparse Recovery Problem
In this paper, by combining the inertial technique and the gradient descent method with Polyak’s stepsizes, we propose a novel inertial self-adaptive...
-
Double Inertial Proximal Gradient Algorithms for Convex Optimization Problems and Applications
In this paper, we propose double inertial forward-backward algorithms for solving unconstrained minimization problems and projected double inertial...
-
Strongly Convergent Inertial Proximal Point Algorithm Without On-line Rule
We present a strongly convergent Halpern-type proximal point algorithm with double inertial effects to find a zero of a maximal monotone operator in...
-
Forward–backward–forward algorithms involving two inertial terms for monotone inclusions
We come up with a new type of forward–backward–forward algorithms for monotone inclusion problems based on a self-adaptive technique to avoid the...
-
An inertial Dai-Liao conjugate method for convex constrained monotone equations that avoids the direction of maximum magnification
This paper exploits the good features of the Dai-Liao (DL) conjugate gradient (CG) method in connection with the inertial interpolation and the...
-
A Bregman inertial forward-reflected-backward method for nonconvex minimization
We propose a Bregman inertial forward-reflected-backward (BiFRB) method for nonconvex composite problems. Assuming the generalized concave...
-
Modified Inertial Projection Method for Solving Pseudomonotone Variational Inequalities with Non-Lipschitz in Hilbert Spaces
This paper deals with a class of inertial gradient projection methods for solving a variational inequality problem involving pseudomonotone and...
-
Novel inertial methods for fixed point problems in reflexive Banach spaces with applications
In this paper, we suggest and analyze four inertial algorithms for solving fixed point problems of Bregman quasi-nonexpansive map**s in the...
-
General inertial proximal stochastic variance reduction gradient for nonconvex nonsmooth optimization
In this paper, motivated by the competitive performance of the proximal stochastic variance reduction gradient (Prox-SVRG) method, a novel general...
-
A Mirror Inertial Forward–Reflected–Backward Splitting: Convergence Analysis Beyond Convexity and Lipschitz Smoothness
This work investigates a Bregman and inertial extension of the forward–reflected–backward algorithm (Malitsky and Tam in SIAM J Optim 30:1451–1472,...
-
A proximal gradient method with double inertial steps for minimization problems involving demicontractive map**s
In this article, we present a novel proximal gradient method based on double inertial steps for solving fixed points of demicontractive map** and...
-
An inertial Fletcher–Reeves-type conjugate gradient projection-based method and its spectral extension for constrained nonlinear equations
In this paper, we initially enhance the Fletcher–Reeves (FR) conjugate parameter through a shrinkage multiplier, leading to a derivative-free...
