Pages that link to "Item:Q3779680"

The following pages link to Two-Point Step Size Gradient Methods (Q3779680):

Displaying 50 items.

• Improved SVRG for finite sum structure optimization with application to binary classification (Q2244210) (← links)
• A new spectral method for \(l_1\)-regularized minimization (Q2254769) (← links)
• A double-projection-based algorithm for large-scale nonlinear systems of monotone equations (Q2256950) (← links)
• A conjugate gradient method to solve convex constrained monotone equations with applications in compressive sensing (Q2257217) (← links)
• Asymptotic rate of convergence of a two-layer iterative method of the variational type (Q2259485) (← links)
• Two spectral gradient projection methods for constrained equations and their linear convergence rate (Q2260602) (← links)
• Nonmonotone adaptive trust region method with line search based on new diagonal updating (Q2261939) (← links)
• Spectral gradient projection method for monotone nonlinear equations with convex constraints (Q2271390) (← links)
• A modified conjugate gradient method for monotone nonlinear equations with convex constraints (Q2273063) (← links)
• An efficient nonmonotone adaptive cubic regularization method with line search for unconstrained optimization problem (Q2275169) (← links)
• A family of Hager-Zhang conjugate gradient methods for system of monotone nonlinear equations (Q2279636) (← links)
• A penalty decomposition method for rank minimization problem with affine constraints (Q2282364) (← links)
• Exact spectral-like gradient method for distributed optimization (Q2282815) (← links)
• A delayed weighted gradient method for strictly convex quadratic minimization (Q2282816) (← links)
• ACQUIRE: an inexact iteratively reweighted norm approach for TV-based Poisson image restoration (Q2284080) (← links)
• On efficiency of nonmonotone Armijo-type line searches (Q2284837) (← links)
• Spectral modified Polak-Ribiére-Polyak projection conjugate gradient method for solving monotone systems of nonlinear equations (Q2286033) (← links)
• A class of derivative-free CG projection methods for nonsmooth equations with an application to the LASSO problem (Q2287031) (← links)
• Robust finite mixture regression for heterogeneous targets (Q2287712) (← links)
• An accelerated version of alternating direction method of multipliers for TV minimization in EIT (Q2293764) (← links)
• On sparse beamformer design with reverberation (Q2295315) (← links)
• A global hybrid derivative-free method for high-dimensional systems of nonlinear equations (Q2301130) (← links)
• An improved Dai-Kou conjugate gradient algorithm for unconstrained optimization (Q2301132) (← links)
• Numerical construction of spherical \(t\)-designs by Barzilai-Borwein method (Q2301296) (← links)
• A proximal regularized Gauss-Newton-Kaczmarz method and its acceleration for nonlinear ill-posed problems (Q2301398) (← links)
• An active set Barzilar-Borwein algorithm for \(l_0\) regularized optimization (Q2307750) (← links)
• On matrix exponentials and their approximations related to optimization on the Stiefel manifold (Q2311200) (← links)
• Joint image formation and two-dimensional autofocusing for synthetic aperture radar data (Q2312141) (← links)
• Global optimization with orthogonality constraints via stochastic diffusion on manifold (Q2316261) (← links)
• A modified spectral conjugate gradient method with global convergence (Q2317848) (← links)
• Matrix forms of iterative algorithms to solve large-scale discrete ill-posed problems with an application to image restoration (Q2318302) (← links)
• A subspace minimization conjugate gradient method based on conic model for unconstrained optimization (Q2322338) (← links)
• Accelerated augmented Lagrangian method for total variation minimization (Q2322436) (← links)
• A family of spectral gradient methods for optimization (Q2322552) (← links)
• Scaled nonlinear conjugate gradient methods for nonlinear least squares problems (Q2322819) (← links)
• Convergence analysis of a nonmonotone projected gradient method for multiobjective optimization problems (Q2329657) (← links)
• A software framework for embedded nonlinear model predictive control using a gradient-based augmented Lagrangian approach (GRAMPC) (Q2331376) (← links)
• A novel approach for solving semidefinite programs (Q2336591) (← links)
• An efficient monotone projected Barzilai-Borwein method for nonnegative matrix factorization (Q2344463) (← links)
• A modified spectral conjugate gradient projection algorithm for total variation image restoration (Q2345093) (← links)
• A flexible inexact-restoration method for constrained optimization (Q2346395) (← links)
• Two maxentropic approaches to determine the probability density of compound risk losses (Q2347057) (← links)
• Semi-supervised learning with nuclear norm regularization (Q2353753) (← links)
• Convergence analysis for the modified spectral projected subgradient method (Q2355316) (← links)
• Multivariate spectral DY-type projection method for convex constrained nonlinear monotone equations (Q2358488) (← links)
• A two-stage active-set algorithm for bound-constrained optimization (Q2359771) (← links)
• A new simple model trust-region method with generalized Barzilai-Borwein parameter for large-scale optimization (Q2360814) (← links)
• A secant-based Nesterov method for convex functions (Q2361131) (← links)
• Stable equilibrium configuration of two bar truss by an efficient nonmonotone global Barzilai-Borwein gradient method in a fuzzy environment (Q2361517) (← links)
• Novel algorithms for noisy minimization problems with applications to neural networks training (Q2370047) (← links)