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(2) Phuangphoo and Kumam [33] considered the fixed point problem of one closed ϕ-nonexpansive mapping; in this paper, we discuss fixed points of two generalized nonexpansive type mappings, and the closeness of the mapping is omitted.
Why the emphasis on mapping in this story?
They defined the concepts of n-isometry, n-collinearity, n-Lipschitz mapping in this space.
The generated sparse mapping in this process represents target features as linear combinations of source features.
This makes slope an important aspect for the study of any earthquake mapping in this region.
We define the concepts of n-isometry, n-collinearity n-Lipschitz mapping in this space.
Further we prove the uniqueness of a coupled fixed point for such a mapping in this setting.
Further mapping in this mutant can provide more insights regarding the causal mutation for the mutant phenotype.
ArcGIS by ESRI GIS and mapping software was applied for spatial data analysis and mapping in this study.
The automated mapping in this paper is especially purposed for MP-SoC architecture exploration, which typically requires a large number of trials without human interaction.
Constructing a global mapping in this way can produce a babbling level of synthesis but does not accurately preserve the motion evident in the original training data.
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