Results 31 to 40 of about 3,204,797 (388)
Scientific Reports, 2023 Engine Oil is a widely used fluid in engineering problems, particularly to enhance the rate of heat transfer when these working fluids play a fundamental role.
Muhammad Arif +3 more
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Computational Topology for Data Analysis
, 2022 Topological data analysis (TDA) has emerged recently as a viable tool for analyzing complex data, and the area has grown substantially both in its methodologies and applicability. Providing a computational and algorithmic foundation for techniques in TDA,
T. Dey, Yusu Wang
semanticscholar +1 more source
Minds and Machines, 2020 In computational complexity theory, decision problems are divided into complexity classes based on the amount of computational resources it takes for algorithms to solve them.
M. Pantsar
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A note on “A new approach for ranking fuzzy numbers based on possibility theory” [PDF]
Decision Science Letters, 2019 Very recently, Qiupeng and Zuxing (2017) [Qiupeng, G., & Zuxing, X. (2017). A new approach for ranking fuzzy numbers based on possibility theory. Journal of Computational and Applied Mathematics, 309, 674-682.] suggested a new fuzzy ranking technique on ...
Alireza Sotoudeh-Anvari +3 more
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An inertial extrapolation method for multiple-set split feasibility problem
Journal of Inequalities and Applications, 2020 In this paper, we propose an iterative algorithm with inertial extrapolation to approximate the solution of multiple-set split feasibility problem. Based on Lopez et al. (Inverse Probl.
Guash Haile Taddele +2 more
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Современные информационные технологии и IT-образование, 2021 Some aspects of the process of mathematical modeling and computational experiment are considered. The modeling process is considered as a method of predicting the behavior of dynamic systems and processes, which allows implementing a chain from a full ...
Sergey Strebulyaev, Daria Sirotkina
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THE DEVELOPMENT OF STUDENTS APPLIED MATHEMATICAL THINKING IN TEACHING INVERSE AND ILL-POSED PROBLEMS
RUDN Journal of Informatization in Education, 2017 In the article the author draws the reader’s attention to the fact that, while mastering the process of learning the theory and methodology of inverse and ill-posed problems, students not only form the fundamental knowledge in the field of inverse and ...
V S Kornilov
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Automatic differentiation of uncertainties: an interval computational differentiation for first and higher derivatives with implementation [PDF]
PeerJ Computer Science, 2023 Acquiring reliable knowledge amidst uncertainty is a topical issue of modern science. Interval mathematics has proved to be of central importance in coping with uncertainty and imprecision.
Hend Dawood, Nefertiti Megahed
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Mathematics for Machine Learning
Journal of Mathematical Sciences & Computational Mathematics, 2020 Machine learning is a way to study the algorithm and statistical model that is used by computer to perform a specific task through pattern and deduction [1].
Gaurav Kumar +4 more
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Advances in Difference Equations, 2021 This paper provides iterative construction of a common solution associated with the classes of equilibrium problems (EP) and split convex feasibility problems.
Yasir Arfat +4 more
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