Alternating CQ-Algorithms For Convex Feasibility And Split Fixed-Point Problems
Due to their extraordinary utility and broad applicability in many areas of applied mathematics (most notably, fully-discretized models of problems in image reconstruction from projections,in image processing, and in intensity-modulated radiation therapy),algorithms for solving convex feasibility problems continue to receive great attention.