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By applying contraction mapping principles and (A3) we obtain the conclusion of the theorem.
The WCD model facilitates the evaluation of fundamental uncertainty using knowledge mapping principles and techniques in a way that can improve a complete uncertainty analysis.
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The results are based on the contraction mapping principle and the Krasnoselskii fixed point theorem.
The results are based on the contraction mapping principle and the Schauder fixed point theorem.
Our results are based on the Banach contraction mapping principle and the Krasnoselskii fixed point theorem.
Our results are based on contraction mapping principle and Krasnosel'skiĭ's fixed point theorem.
The results are based on the contraction mapping principle and Krasnoselskii's fixed point theorem.
In Menger probabilistic metric spaces, the contraction mapping principle and relevant best proximity point theorems have been proved by authors.
The existence and uniqueness results are based on Banach's contraction mapping principle and Krasnoselskii's fixed point theorem.
By applying the Banach contraction mapping principle and the Leray-Schauder degree theory, some existence results of solutions are obtained.
For the automotive catalytic reaction system, uniqueness criteria for the steady state are obtained by use of the contraction mapping principle and the Hammerstein uniqueness theorem.
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