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After that many authors developed this theory by finding fixed point in modular function spaces.
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Among these fixed point theorems only a few have practical importance, i.e., they provide a constructive method for finding fixed point(s).
In terms of resolvents, the corresponding problem is that of finding fixed points.
Many related problems can be cast as the problem of finding fixed points for nonlinear mappings.
Therefore mathematicians have been propelled to contribute enormously in the field of fixed point theory by finding the fixed point(s) of self-mappings or nonself-mappings defined on several ambient spaces and satisfying a variety of conditions.
Many problems in mathematics [2] and physical sciences [3 5] uses a technique known as finding common fixed point.
The problem of finding common fixed points has been extensively studied by mathematicians.
In probabilistic analysis theory, the problem of finding random fixed points of random operators is an important issue.
In this section, we establish an iterative method for finding the solution of hierarchical fixed point problem (1.1).
In metric fixed point theory, the contractive conditions on underlying functions play an important role for finding solution of fixed point problems.
Meanwhile, the difficulty of the method of the fixed point theory comes from finding an appropriate fixed point theorem.
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