Non-monotonous sequential subgradient projection algorithm for convex feasibility problem

DOI10.1007/s10255-016-0630-5zbMath1358.90136OpenAlexW2523963090MaRDI QIDQ519264

Jun-ling Sun, Yan Gao, Ya-Zheng Dang

Publication date: 4 April 2017

Published in: Acta Mathematicae Applicatae Sinica. English Series (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10255-016-0630-5

zbMATH Keywords

convex feasibility problemsubgradient projection algorithmnon-monotonous technique

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Sensitivity, stability, parametric optimization (90C31)

Cites Work

• Proximal point algorithms for multi-criteria optimization with the difference of convex objective functions
• A new algorithm for linearly constrained c-convex vector optimization with a supply chain network risk application
• A parallel subgradient projections method for the convex feasibility problem
• Parallel application of block-iterative methods in medical imaging and radiation therapy
• The Constraint Consensus Method for Finding Approximately Feasible Points in Nonlinear Programs
• On the use of Cimmino's simultaneous projections method for computing a solution of the inverse problem in radiation therapy treatment planning
• Cyclic subgradient projections
• Linear Matrix Inequalities in System and Control Theory
• On Projection Algorithms for Solving Convex Feasibility Problems
• Convex Analysis
• On systems of inequalities with convex functions in the left sides
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