| Publisher DOI: | 10.3182/20110828-6-IT-1002.03612 | Title: | Multilinear algebraic boolean modelling with tensor decompositions techniques | Language: | English | Authors: | Lichtenberg, Gerwald  Eichler, Annika |
Keywords: | Boolean functions; Boolean parameter identification; Discrete optimization; Gene expression modelling; Multilinear algebra; Tensors; Zhegalkin polynomials | Issue Date: | Jan-2011 | Publisher: | Elsevier | Journal or Series Name: | IFAC Proceedings Volumes | Volume: | 44 | Issue: | 1 | Startpage: | 5603 | Endpage: | 5608 | Conference: | International Federation of Automatic Control World Congress 2011 | Abstract: | The paper first shows that Kruskal tensors with matrix factors derived from orthogonal ternary vector lists define multivariable Boolean functions. These tensors make it possible to derive efficient algorithms for the generation of equivalent Zhegalkin polynomials, which are secondly used for identification of algebraic Boolean models, e.g. for gene expression dynamics. © 2011 IFAC. |
URI: | http://hdl.handle.net/20.500.12738/12899 | ISBN: | 9783902661937 | ISSN: | 1474-6670 | Review status: | Unknown / not specified | Institute: | Technische Universität Hamburg | Type: | Chapter/Article (Proceedings) |
| Appears in Collections: | Publications without full text |
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