Pages that link to "Item:Q639932"

The following pages link to Averaged mappings and the gradient-projection algorithm (Q639932):

Displaying 50 items.

• Multi-step iterative algorithms with regularization for triple hierarchical variational inequalities with constraints of mixed equilibria, variational inclusions, and convex minimization (Q260440) (← links)
• Regularized hybrid iterative algorithms for triple hierarchical variational inequalities (Q261789) (← links)
• Strong convergence of a modified proximal algorithm for solving the lasso (Q262321) (← links)
• A regularization algorithm for a common solution of generalized equilibrium problem, fixed point problem and the zero points of the sum of two operators (Q262561) (← links)
• Methods for solving constrained convex minimization problems and finding zeros of the sum of two operators in Hilbert spaces (Q264970) (← links)
• On the strong convergence of a general-type Krasnosel'skii-Mann's algorithm depending on the coefficients (Q266345) (← links)
• Mann type iterative methods for finding a common solution of split feasibility and fixed point problems (Q270044) (← links)
• Mathematical programming for the sum of two convex functions with applications to lasso problem, split feasibility problems, and image deblurring problem (Q288028) (← links)
• Weak convergence theorem for variational inequality problems with monotone mapping in Hilbert space (Q343537) (← links)
• An iterative method with norm convergence for a class of generalized equilibrium problems (Q364459) (← links)
• Iterative algorithms based on the viscosity approximation method for equilibrium and constrained convex minimization problem (Q383396) (← links)
• Iterative approximation of solutions for constrained convex minimization problem (Q384553) (← links)
• A simpler explicit iterative algorithm for a class of variational inequalities in Hilbert spaces (Q398640) (← links)
• Iterative algorithms with regularization for hierarchical variational inequality problems and convex minimization problems (Q401849) (← links)
• A regularized gradient projection method for the minimization problem (Q410905) (← links)
• Strong convergence of a projected gradient method (Q442915) (← links)
• Applications of fixed-point and optimization methods to the multiple-set split feasibility problem (Q443134) (← links)
• Variant gradient projection methods for the minimization problems (Q448815) (← links)
• A general iterative method for solving constrained convex minimization problems (Q467418) (← links)
• Hybrid methods with regularization for minimization problems and asymptotically strict pseudocontractive mappings in the intermediate sense (Q475799) (← links)
• Approximation of solutions to constrained convex minimization problem in Hilbert spaces (Q496478) (← links)
• Regularized gradient-projection methods for finding the minimum-norm solution of the constrained convex minimization problem (Q504560) (← links)
• Weak convergence theorem for a class of split variational inequality problems and applications in a Hilbert space (Q530239) (← links)
• Some iterative methods for finding fixed points and for solving constrained convex minimization problems (Q555046) (← links)
• Modified inertial Mann algorithm and inertial CQ-algorithm for nonexpansive mappings (Q683928) (← links)
• Properties and iterative methods for the lasso and its variants (Q741471) (← links)
• Strong convergence results for convex minimization and monotone variational inclusion problems in Hilbert space (Q777216) (← links)
• Strong convergence and bounded perturbation resilience of a modified proximal gradient algorithm (Q824550) (← links)
• Convergence theorems for split feasibility problems on a finite sum of monotone operators and a family of nonexpansive mappings (Q824722) (← links)
• Strong convergence theorems for a class of split feasibility problems and fixed point problem in Hilbert spaces (Q824843) (← links)
• Solving a split feasibility problem by the strong convergence of two projection algorithms in Hilbert spaces (Q830127) (← links)
• A hybrid iterative method with averaged mappings for hierarchical fixed point problems and variational inequalities (Q891775) (← links)
• The common solutions of the split feasibility problems and fixed point problems (Q896525) (← links)
• The combination projection method for solving convex feasibility problems (Q1634718) (← links)
• A modified iterative method for a finite collection of non-self mappings and a family of variational inequality problems (Q1635757) (← links)
• Iterative algorithms for the multiple-sets split feasibility problem in Hilbert spaces (Q1681780) (← links)
• Iterative methods for a class of variational inequalities in Hilbert spaces (Q1684854) (← links)
• A strong convergence result involving an inertial forward-backward algorithm for monotone inclusions (Q1684913) (← links)
• An iterative method for split inclusion problems without prior knowledge of operator norms (Q1687172) (← links)
• Algorithms of common solutions for generalized mixed equilibria, variational inclusions, and constrained convex minimization (Q1722146) (← links)
• Iterative schemes for convex minimization problems with constraints (Q1722348) (← links)
• The hybrid steepest descent method for split variational inclusion and constrained convex minimization problems (Q1723940) (← links)
• Hybrid extragradient method with regularization for convex minimization, generalized mixed equilibrium, variational inequality and fixed point problems (Q1724119) (← links)
• Solving generalized mixed equilibria, variational inequalities, and constrained convex minimization (Q1724454) (← links)
• Multistep hybrid iterations for systems of generalized equilibria with constraints of several problems (Q1724631) (← links)
• Hybrid iterative scheme for triple hierarchical variational inequalities with mixed equilibrium, variational inclusion, and minimization constraints (Q1724933) (← links)
• Strong convergence of modified algorithms based on the regularization for the constrained convex minimization problem (Q1725170) (← links)
• On solving of constrained convex minimize problem using gradient projection method (Q1728981) (← links)
• The conjugate gradient method for split variational inclusion and constrained convex minimization problems (Q1733715) (← links)
• Iterative methods for zeros of a monotone variational inclusion in Hilbert spaces (Q1742975) (← links)