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Reductions for Frequency-Based Data Mining Problems
Studying the computational complexity of problems is one of the - if not the - fundamental questions in computer science. Yet, surprisingly little is known about the computational complexity of many central problems in data mining. In this paper we study
Miettinen, Pauli, Neumann, Stefan
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Ranking Functions for Vector Addition Systems
Vector addition systems are an important model in theoretical computer science and have been used for the analysis of systems in a variety of areas. Termination is a crucial property of vector addition systems and has received considerable interest in ...
Anders Sjödin (611183) +9 more
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On partisan bias in redistricting: computational complexity meets the science of gerrymandering
Disclaimer: The authors were not supported, financially or otherwise, by any political party. The research results reported in this paper are purely scientific and reported as they are without any regard to which political party they may be of help (if at all)
Tanima Chatterjee, Bhaskar DasGupta
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The linear space hypothesis is a practical working hypothesis, which originally states the insolvability of a restricted 2CNF Boolean formula satisfiability problem parameterized by the number of Boolean variables.
CA Kapoutsis +8 more
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Unitary Noise and the Mermin-GHZ Game
Communication complexity is an area of classical computer science which studies how much communication is necessary to solve various distributed computational problems.
Angelo Montanari +3 more
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Computer science, computer, computational complexity
Vladimir Nikolaevich Chubarikov +3 more
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Quantifying Resource Use in Computations [PDF]
It is currently not possible to quantify the resources needed to perform a computation. As a consequence, it is not possible to reliably evaluate the hardware resources needed for the application of algorithms or the running of programs. This is apparent
van Son, R. J. J. H.
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Analysis Of Computational Complexity Theory For Theoretical Computer Science Applications
Computational Complexity Theory is a fundamental field in Theoretical Computer Science that analyzes the resources required to solve computational problems. It provides a framework for understanding the efficiency and limitations of algorithms, enabling us toclassify problems into different complexity classes based on their inherent difficulty.
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Dichotomy Results for Fixed Point Counting in Boolean Dynamical Systems
We present dichotomy theorems regarding the computational complexity of counting fixed points in boolean (discrete) dynamical systems, i.e., finite discrete dynamical systems over the domain {0,1}.
Homan, Christopher M., Kosub, Sven
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Complex Systems and a Computational Social Science Perspective on the Labor Market
Labor market institutions are central for modern economies, and their polices can directly affect unemployment rates and economic growth. At the individual level, unemployment often has a detrimental impact on people's well-being and health. At the national level, high employment is one of the central goals of any economic policy, due to its close ...
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