An iterative regularization method for the solution of the split feasibility problem in Banach spaces

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A New Algorithm for Solving The Multiple-Sets Split Feasibility Problem in Banach Spaces (2014, background): “The MSSFP has been widely studied by many authors (see [3, 6, 11, 15, 16, 19, 20, 22, 23]), due to its various real-world applications, such as the inverse problem arising in intensity-modulate radiation therapy [4].”
Iterative methods for the split feasibility problem in infinite-dimensional Hilbert spaces (2010, methodology): “We note that the main algorithm in [20] (equation (25) of method 1 on page 8) is reduced to the CQ algorithm when the underlying Banach spaces are reduced to”
Algorithms for the Split Variational Inequality Problem (2010, background): “More work on the SCFP can be found in [6, 15, 27, 34, 38, 40, 43, 44, 46, 48, 49].”
Iterative methods for nonlinear ill-posed problems in Banach spaces: convergence and applications to parameter identification problems (2009, background): “The paper [24] deals with the solution of convex split feasibility problems in Banach spaces by cyclic projections.”