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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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Cities: Complexity, theory and history. [PDF]
PLoS ONE, 2020 In recent decades researchers in a variety of disciplines have developed a new "urban science," the central goal of which is to build general theory regarding the social processes underlying urbanization.
Scott G Ortman +2 more
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Embracing complexity: theory, cases and the future of bioethics. [PDF]
Monash Bioeth Rev, 2014 This paper reflects on the relationship between theory and practice in bioethics, by using various concepts drawn from debates on innovation in healthcare research—in particular debates around how best to connect up blue skies ‘basic’ research with ...
Wilson J.
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Does application of complexity theory simplify concepts of psychiatry: Analogies and insights
Industrial Psychiatry Journal, 2021 Scientific curiosity has not been able to explain the cause of psychiatric illness based on primarily biological or social paradigm. Available literatures were explored to understand causality of psychiatric illness from perspective of physics. Theory of
Jyoti Prakash, K Chatterjee, S Shankar
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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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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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Complexity Theory of Psychopathology
Journal of Psychopathology and Clinical Science, 2020 There is a renewed interest for complex adaptive system approaches that can account for the inherently complex and dynamic nature of psychopathology. Yet, a theory of psychopathology grounded in the principles of complex adaptive systems is lacking. Here, we present such a theory based on the notion of dynamic patterns: patterns that are formed over ...
Merlijn Olthof +4 more
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