Computer Algebra Methods for Equivariant Dynamical Systems by Karin Gatermann

By Karin Gatermann

This e-book begins with an summary of the study of Gröbner bases that have many functions in quite a few components of arithmetic in view that they're a basic device for the research of polynomial systems.
The subsequent bankruptcy describes algorithms in invariant idea together with many examples and time tables. those options are utilized within the chapters on symmetric bifurcation idea and equivariant dynamics.
This mix of other parts of arithmetic may be attention-grabbing to researchers in computational algebra and/or dynamics.

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Extra resources for Computer Algebra Methods for Equivariant Dynamical Systems

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3 we describe our results on userprivacy. In Sect. 4 we briefly discuss the topic of knowledge-intensive data privacy. The chapter finishes with a summary. 2 Research on Data-Driven or General-Purpose Protection Methods In the last years we have taken into account the three main issues related to data-driven methods: • data protection methods, the methods that are needed to protect the data • information loss measures, to evaluate in what extent a released data set can compromise privacy. • disclosure risk.

Linear spaces and transversal designs: k-anonymous combinatorial configurations for anonymous database search. Des. Codes Crypt. 71, 503–524 (2014) 40. : On the privacy offered by k-d-anonymity. Inf. Syst. 38(4), 491–494 (2013) 41. : Using social networks to distort users’ profiles generated by web search engines. Comput. Netw. 54(9), 1343–1357 (2010) 42. AOL Search Data Scandal. org/wiki/AOL_search_data_leak. Accessed Aug 2006 43. ODP. Open directory project. org/ 44. The Tor Project Inc: Tor: Overview.

En Data Privacy: A Survey of Results Vicenç Torra and Guillermo Navarro-Arribas Abstract In this paper we present an overview of the results obtained by our research group within the area of data privacy. Results focus on data-driven problems (respondent and owner privacy with an unknown use) and user privacy. We have developed some new masking methods, developed methodologies for parameter selection, and developed some information loss and disclosure risk measures. We have also obtained important results on reidentification methods (record linkage) when used for disclosure risk assessment.

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