tailieunhanh - Báo cáo toán học: " Generalized Models for high-throughput analysis of uncer- tain nonlinear systems"

Tuyển tập các báo cáo nghiên cứu khoa học ngành toán học được đăng trên tạp chí toán học quốc tế đề tài: Generalized Models for high-throughput analysis of uncer- tain nonlinear systems | Journal of Mathematics in Industry SpringerOpen0 This Provisional PDF corresponds to the article as it appeared upon acceptance. Fully formatted PDF and full text HTML versions will be made available soon. Generalized Models for high-throughput analysis of uncer- tain nonlinear systems Journal of Mathematics in Industry 2011 1 9 doi 2190-5983-1-9 Thilo Gross Stefan Siegmund siegmund@ ISSN 2190-5983 Article type Research Submission date 19 September 2011 Acceptance date 12 December 2011 Publication date 12 December 2011 Article URL http content 1 1 9 This peer-reviewed article was published immediately upon acceptance. It can be downloaded printed and distributed freely for any purposes see copyright notice below . For information about publishing your research in Journal of Mathematics in Industry go to http authors instructions For information about other SpringerOpen publications go to http 2011 Gross and Siegmund licensee Springer. This is an open access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Generalized Models for high-throughput analysis of uncertain nonlinear systems Thilo Gross1 2 Stefan Siegmund 2 1Max-Planck Institute for the Physics of Complex Systems Nothnitzer Str. 38 01187 Dresden Germany 2Technical University Dresden Department of Mathematics Center for Dynamics 01062 Dresden Germany Email Thilo Gross - gross@ Stefan Siegmund - siegmund@ Corresponding author Abstract Purpose Describe a high-throughput method for the analysis of uncertain models . in biological research. Methods Generalized modeling for conceptual analysis of large classes of models. Results Local dynamics of .