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Finite dimensional intuitionistic fuzzy n-normed linear spaces
T. Bag 원광대학교 기초자연과학연구소 2017 ANNALS OF FUZZY MATHEMATICS AND INFORMATICS Vol.13 No.2
In this paper, definition of intuitionistic fuzzy n-normed linear space is given in general t-norm setting. Some basic results on completeness and compactness of finite dimensional intuitionistic n-fuzzy normed linear spaces have been studied.
Some results on finite dimensional fuzzy cone normed linear space
P. Tamang,T. Bag 원광대학교 기초자연과학연구소 2017 ANNALS OF FUZZY MATHEMATICS AND INFORMATICS Vol.13 No.1
In this paper, a new concept of fuzzy cone normed linear space is introduced and some basic results on finite dimensional fuzzy cone normed linear space are established.
Completeness and compactness in fuzzy cone metric spaces
A. Majumder,T. Bag 원광대학교 기초자연과학연구소 2019 ANNALS OF FUZZY MATHEMATICS AND INFORMATICS Vol.18 No.3
In this paper, some basic results in complete fuzzy cone metric space are studied and Cantor's Intersection Theorem is established in fuzzy setting. On the other hand some results in compact fuzzy cone metric spaces are developed.
Recent developments in G<small>EANT</small>4
Allison, J.,Amako, K.,Apostolakis, J.,Arce, P.,Asai, M.,Aso, T.,Bagli, E.,Bagulya, A.,Banerjee, S.,Barrand, G.,Beck, B.R.,Bogdanov, A.G.,Brandt, D.,Brown, J.M.C.,Burkhardt, H.,Canal, Ph.,Cano-Ott, D. Elsevier 2016 Nuclear Instruments & Methods in Physics Research. Vol.835 No.-
<P><B>Abstract</B></P> <P>G<SMALL>EANT</SMALL>4 is a software toolkit for the simulation of the passage of particles through matter. It is used by a large number of experiments and projects in a variety of application domains, including high energy physics, astrophysics and space science, medical physics and radiation protection. Over the past several years, major changes have been made to the toolkit in order to accommodate the needs of these user communities, and to efficiently exploit the growth of computing power made available by advances in technology. The adaptation of G<SMALL>EANT</SMALL>4 to multithreading, advances in physics, detector modeling and visualization, extensions to the toolkit, including biasing and reverse Monte Carlo, and tools for physics and release validation are discussed here.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Multithreading resulted in a smaller memory footprint and nearly linear speed-up. </LI> <LI> Scoring options, faster geometry primitives, more versatile visualization were added. </LI> <LI> Improved electromagnetic and hadronic models and cross sections were developed. </LI> <LI> Reverse Monte Carlo and general biasing methods were added. </LI> <LI> Physics validation efforts were expanded and new validation tools were added. </LI> </UL> </P>