Projected gradient methods for linearly constrained problems

On the Number of Inner Iterations Per Outer Iteration of a Globally Convergent Algorithm for Optimization with General Nonlinear Inequality Constraints and Simple Bounds

Computational Optimization and Applications

Convergence of the Gradient Projection Method for Generalized Convex Minimization

Computational Optimization and Applications

Local convergence analysis of projection-type algorithms: unified approach

Journal of Optimization Theory and Applications

An iterative working-set method for large-scale nonconvex quadratic programming

Applied Numerical Mathematics

Some recent advances in projection-type methods for variational inequalities

Journal of Computational and Applied Mathematics - Proceedings of the international conference on recent advances in computational mathematics

The Gradient Projection Method with Exact Line Search

Journal of Global Optimization

Minimizing quadratic functions subject to bound constraints with the rate of convergence and finite termination

Computational Optimization and Applications

Convergence properties of nonmonotone spectral projected gradient methods

Journal of Computational and Applied Mathematics

A Convergence Analysis of Unconstrained and Bound Constrained Evolutionary Pattern Search

Evolutionary Computation

The Lagrangian Globalization Method for Nonsmooth Constrained Equations

Computational Optimization and Applications

A Linearly Convergent Dual-Based Gradient Projection Algorithm for Quadratically Constrained Convex Minimization

Mathematics of Operations Research

An additional projection step to He and Liao's method for solving variational inequalities

Journal of Computational and Applied Mathematics

Projected Gradient Methods for Nonnegative Matrix Factorization

Neural Computation

Analysis of Constrained Optimization Variants of the Map-Seeking Circuit Algorithm

Journal of Mathematical Imaging and Vision

A self-adaptive projection method with improved step-size for solving variational inequalities

Computers & Mathematics with Applications

On image reconstruction algorithms for binary electromagnetic geotomography

Theoretical Computer Science

Modified subspace limited memory BFGS algorithm for large-scale bound constrained optimization

Journal of Computational and Applied Mathematics

Modified extragradient methods for solving variational inequalities

Computers & Mathematics with Applications

A smoothing projected Newton-type algorithm for semi-infinite programming

Computational Optimization and Applications

A superlinearly convergent projection method for constrained systems of nonlinear equations

Journal of Global Optimization

Kernel Learning for Local Learning Based Clustering

ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I

Convergence properties of nonmonotone spectral projected gradient methods

Journal of Computational and Applied Mathematics

Projected gradient method for kernel discriminant nonnegative matrix factorization and the applications

Signal Processing

Nonlinear non-negative component analysis algorithms

IEEE Transactions on Image Processing

A multivariate spectral projected gradient method for bound constrained optimization

Journal of Computational and Applied Mathematics

Superrelaxation and the rate of convergence in minimizing quadratic functions subject to bound constraints

Computational Optimization and Applications

Active Set Identification for Linearly Constrained Minimization Without Explicit Derivatives

SIAM Journal on Optimization

Minimizing the Condition Number of a Gram Matrix

SIAM Journal on Optimization

Adjoint IMEX-based schemes for control problems governed by hyperbolic conservation laws

Computational Optimization and Applications

Rank-two residue iteration method for nonnegative matrix factorization

Neurocomputing

Solving box constrained variational inequalities by using the natural residual with D-gap function globalization

Operations Research Letters

Learning personal + social latent factor model for social recommendation

Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining

Maximum Block Improvement and Polynomial Optimization

SIAM Journal on Optimization

Gradient trust region algorithm with limited memory BFGS update for nonsmooth convex minimization

Computational Optimization and Applications

Linear convergence analysis of the use of gradient projection methods on total variation problems

Computational Optimization and Applications

Network denoising in social media

Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

Recursive projection algorithm on FIR system identification with binary-valued observations

Automatica (Journal of IFAC)

On proximal gradient method for the convex problems regularized with the group reproducing kernel norm

Journal of Global Optimization