Results 11 to 20 of about 8,682,077 (303)
Community-Based Matrix Factorization (CBMF) Approach for Enhancing Quality of Recommendations
Entropy, 2023 Matrix factorization is a long-established method employed for analyzing and extracting valuable insight recommendations from complex networks containing user ratings.
Srilatha Tokala +3 more
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Missio Dei through complexity theory: Complexity to total salvation
In die Skriflig, 2022 Complexity theory continues to fascinate the academics owing to its capability to describe complex systems holistically. This theory makes it possible to understand a complex system by studying its constituent subsystems. Understanding the missio Dei has
Jonas S. Thinane
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New Journal of Physics, 2021 Single- and multi-layer complex networks have been proven as a powerful tool to study the dynamics within social, technological, or natural systems. An often observed common goal is to optimize these systems for specific purposes by minimizing certain ...
Tanja Holstein +2 more
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Smoothed Complexity Theory [PDF]
ACM Transactions on Computation Theory, 2012 Smoothed analysis is a new way of analyzing algorithms introduced by Spielman and Teng. Classical methods like worst-case or average-case analysis have accompanying complexity classes, such as P and Avg-P, respectively. Whereas worst-case or average-case analysis give us a means to talk about the running time of a particular algorithm, complexity ...
Bläser, Markus, Manthey, Bodo
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IEEE Access, 2023 Over the past decade, there has been extensive research conducted on complex networks, primarily driven by their crucial role in understanding the various real-world networks such as social networks, communication networks, transportation networks, and ...
Mondikathi Chiranjeevi +3 more
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A Systematic Literature Review of the Impact of Complexity Theory on Applied Economics
Economies, 2022 A systematic literature review is used to explore the relationship between complexity theory and economics. Broad search terms identify an unmanageable large number of hits.
Philip Haynes, David Alemna
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Krylov complexity in conformal field theory [PDF]
Physical Review D, 2021 Krylov complexity, or K-complexity for short, has recently emerged as a new probe of chaos in quantum systems. It is a measure of operator growth in Krylov space, which conjecturally bounds the operator growth measured by the out of time ordered ...
A. Dymarsky, M. Smolkin
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Complexity Theory in sociological theorizing and metamodern culture — the contours of mutual legitimation [PDF]
Соціологія, 2022 The focus of the article is on two large-scale transformation processes that are currently taking place in the Western scientific and socio-cultural spaces.
Lyubov Bevzenko
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Krylov complexity in quantum field theory, and beyond [PDF]
Journal of High Energy Physics, 2022 We study Krylov complexity in various models of quantum field theory: free massive bosons and fermions on flat space and on spheres, holographic models, and lattice models with a UV-cutoff.
Alexander Avdoshkin +2 more
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Physical Computing: Unifying Real Number Computation to Enable Energy Efficient Computing
Journal of Low Power Electronics and Applications, 2021 Physical computing unifies real value computing including analog, neuromorphic, optical, and quantum computing. Many real-valued techniques show improvements in energy efficiency, enable smaller area per computation, and potentially improve algorithm ...
Jennifer Hasler, Eric Black
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