Iterative Averaging of Entropic Projections for Solving Stochastic Convex Feasibility Problems
Computational Optimization and Applications
Iterative Methods of Solving Stochastic Convex Feasibility Problems andApplications
Computational Optimization and Applications
Downward Sets and their separation and approximation properties
Journal of Global Optimization
Learning Additive Models Online with Fast Evaluating Kernels
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Constrained image recovery in a product space
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
Projection Support Vector Machine Generators
Machine Learning
Journal of Approximation Theory
Finding best approximation pairs relative to two closed convex sets in Hilbert spaces
Journal of Approximation Theory
Efficient Computation of the Hausdorff Distance Between Polytopes by Exterior Random Covering
Computational Optimization and Applications
ICML '05 Proceedings of the 22nd international conference on Machine learning
Algorithms for the quasiconvex feasibility problem
Journal of Computational and Applied Mathematics
The rate of convergence for the cyclic projections algorithm I: angles between convex sets
Journal of Approximation Theory
The rate of convergence for the cyclic projections algorithm II: norms of nonlinear operators
Journal of Approximation Theory
A finite steps algorithm for solving convex feasibility problems
Journal of Global Optimization
EURASIP Journal on Applied Signal Processing
On the Mann-type iteration and the convex feasibility problem
Journal of Computational and Applied Mathematics
How good are projection methods for convex feasibility problems?
Computational Optimization and Applications
Approximation of common fixed points of an infinite family of nonexpansive mappings in Banach spaces
Computers & Mathematics with Applications
Optimization Methods & Software
The rate of convergence for the cyclic projections algorithm III: Regularity of convex sets
Journal of Approximation Theory
Enlarged cores and bargaining schemes in games with fuzzy coalitions
Fuzzy Sets and Systems
A Deep Monotone Approximation Operator Based on the Best Quadratic Lower Bound of Convex Functions
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Strong convergence theorems for an infinite family of nonexpansive mappings in Banach spaces
Journal of Computational and Applied Mathematics
Hybrid viscosity-like approximation methods for nonexpansive mappings in Hilbert spaces
Computers & Mathematics with Applications
Normalized incremental subgradient algorithm and its application
IEEE Transactions on Signal Processing
A collaborative training algorithm for distributed learning
IEEE Transactions on Information Theory
Journal of Computational and Applied Mathematics
Algorithms for the quasiconvex feasibility problem
Journal of Computational and Applied Mathematics
Robust reduced-rank adaptive algorithm based on parallel subgradient projection and Krylov subspace
IEEE Transactions on Signal Processing
Adaptive constrained learning in reproducing Kernel Hilbert spaces: the robust beamforming case
IEEE Transactions on Signal Processing
Efficient controls for finitely convergent sequential algorithms
ACM Transactions on Mathematical Software (TOMS)
Minimal infeasible constraint sets in convex integer programs
Journal of Global Optimization
Particle swarm optimization (PSO) for structural damage detection
ASMCSS'09 Proceedings of the 3rd International Conference on Applied Mathematics, Simulation, Modelling, Circuits, Systems and Signals
Nonsmooth penalty and subgradient algorithms to solve the problem of projection onto a polytope
Cybernetics and Systems Analysis
Iterative methods for the computation of fixed points of demicontractive mappings
Journal of Computational and Applied Mathematics
Journal of Computational and Applied Mathematics
Functions with prescribed best linear approximations
Journal of Approximation Theory
A note on Solodov and Tseng's methods for maximal monotone mappings
Journal of Computational and Applied Mathematics
Mathematics of Operations Research
Slow convergence of sequences of linear operators II: Arbitrarily slow convergence
Journal of Approximation Theory
Describing the Result of a Classifier to the End-User: Geometric-based Sensitivity
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Minimization of equilibrium problems, variational inequality problems and fixed point problems
Journal of Global Optimization
Variable target value relaxed alternating projection method
Computational Optimization and Applications
A Parallel Splitting Method for Coupled Monotone Inclusions
SIAM Journal on Control and Optimization
Incremental Subgradients for Constrained Convex Optimization: A Unified Framework and New Methods
SIAM Journal on Optimization
Operator Splittings, Bregman Methods and Frame Shrinkage in Image Processing
International Journal of Computer Vision
The general iterative methods for nonexpansive mappings in Banach spaces
Journal of Global Optimization
Fixed point optimization algorithm and its application to network bandwidth allocation
Journal of Computational and Applied Mathematics
Algorithms for the Split Variational Inequality Problem
Numerical Algorithms
Foundations and Trends® in Machine Learning
Computational Optimization and Applications
Generalized projections onto convex sets
Journal of Global Optimization
Mathematical and Computer Modelling: An International Journal
Convergence of Krasnoselskii-Mann iterations of nonexpansive operators
Mathematical and Computer Modelling: An International Journal
Modified hybrid steepest-descent methods for variational inequalities and fixed points
Mathematical and Computer Modelling: An International Journal
A superlinearly convergent projection algorithm for solving the convex inequality problem
Operations Research Letters
Convex feasibility modeling and projection methods for sparse signal recovery
Journal of Computational and Applied Mathematics
Products of Finitely Many Resolvents of Maximal Monotone Mappings in Reflexive Banach Spaces
SIAM Journal on Optimization
An acceleration scheme for cyclic subgradient projections method
Computational Optimization and Applications
Convergence and perturbation resilience of dynamic string-averaging projection methods
Computational Optimization and Applications
Proximity algorithms for the L1/TV image denoising model
Advances in Computational Mathematics
Two-step projection methods for a system of variational inequality problems in Banach spaces
Journal of Global Optimization
Journal of Approximation Theory
Iterative processes for common fixed points of two different families of mappings with applications
Journal of Global Optimization
An infeasible-point subgradient method using adaptive approximate projections
Computational Optimization and Applications
Hi-index | 0.08 |
Due to their extraordinary utility and broad applicability in many areas of classical mathematics and modern physical sciences (most notably, computerized tomography), algorithms for solving convex feasibility problems continue to receive great attention. To unify, generalize, and review some of these algorithms, a very broad and flexible framework is investigated. Several crucial new concepts which allow a systematic discussion of questions on behaviour in general Hilbert spaces and on the quality of convergence are brought out. Numerous examples are given.