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They used their simultaneous multi-projections algorithm to solve the split feasibility problem.
They used their simultaneous multiprojections algorithm to obtain iterative algorithms to solve the split feasibility problem.
As applications, we extend the results to solve the split feasibility problem.
Subsequently, many selfadaptive projection methods were presented to solve the split feasibility problem [18, 19].
We developed several new iterative algorithms to solve the split feasibility problem in an infinite-dimensional Hilbert spaces.
Now, we give a new modified iterative algorithm to solve the split equality generalized mixed equilibrium problem.
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In the paper [8], Moudafi gave the following iterative algorithms for solving the split equality problem.
We have introduced our improved self-adaptive method for solving the split feasibility problem.
A new improved self-adaptive method is introduced for solving the split feasibility problem.
As an application, we apply our algorithm to solving the split feasibility problem in Hilbert spaces.
Our results improve and developprevious methods for solving the split common fixed point problem.
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