Results 241 to 250 of about 867,116 (279)
High-accuracy Galileo tracking algorithm with improved convergence for the SDR GNSS. [PDF]
Sci RepRaju B, Kumar KR, Umapathi N.
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Simultaneous Efficient Fragmentation and Spheroidization: Cyclone Atomization Enables Defect-Free, High-Yield FeNi50 Powder. [PDF]
Materials (Basel)Kang K, Huang S, Hu K, Han Q, Zhang D.
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Global Existence and Nonlinear Stability of Finite-Energy Solutions of the Compressible Euler-Riesz Equations with Large Initial Data of Spherical Symmetry. [PDF]
Commun Math PhysCarrillo JA +3 more
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ROUGH CONVERGENCE OF DOUBLE SEQUENCES OF FUZZY NUMBERS
Journal of Applied Analysis and Computation, 2020 Summary: In this paper, we define the concepts of rough convergence and rough Cauchy sequence of double sequences of fuzzy numbers. Then, we investigate some relations between rough limit set and extreme limit points of such sequences.
Babaarslan, Funda, Tuncer, A. Nihal
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Numerical Functional Analysis and Optimization, 2008
In this work, using the concept of natural density, we introduce the notion of rough statistical convergence. We define the set of rough statistical limit points of a sequence and obtain two statistical convergence criteria associated with this set. Later, we prove that this set is closed and convex. Finally, we examine the relations between the set of
Salih Aytar
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In this work, using the concept of natural density, we introduce the notion of rough statistical convergence. We define the set of rough statistical limit points of a sequence and obtain two statistical convergence criteria associated with this set. Later, we prove that this set is closed and convex. Finally, we examine the relations between the set of
Salih Aytar
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On rough I-statistical φ-convergence
2023In this paper, we introduce the concept of rough I-statistical ?-convergence of real numbers as a generalization of rough statistical convergence as well as I-statistical ?-convergence. We study some of its fundamental properties. We obtain some results for rough I-statistical ?-convergence by introducing the rough I-statistical-? limit set.
Kı?şı?, Ömer, Gürdal, Mehmet
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On Rough Convergence of Complex Uncertain Sequences
Journal of Uncertain Systems, 2021Complex uncertain variables are measurable functions from an uncertainty space to the set of complex numbers and are used to model complex uncertain quantities. The main purpose of this paper is to introduce rough convergence of complex uncertain sequences and study some convergence concepts namely rough convergence in measure, rough convergence in ...
Shyamal Debnath, Bijoy Das
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Inequalities and Convergence Concepts of Fuzzy and Rough Variables
Fuzzy Optimization and Decision Making, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Baoding Liu
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Mathematica Slovaca, 2019
AbstractIn this paper we introduce rough weighted statistical limit set and weighted statistical cluster points set which are natural generalizations of rough statistical limit set and statistical cluster points set of double sequences respectively. Some new examples are constructed to ensure the deviation of basic results.
Sanjoy Ghosal
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AbstractIn this paper we introduce rough weighted statistical limit set and weighted statistical cluster points set which are natural generalizations of rough statistical limit set and statistical cluster points set of double sequences respectively. Some new examples are constructed to ensure the deviation of basic results.
Sanjoy Ghosal
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