| 书目名称 | Spatiotemporal Modeling of Influenza | | 副标题 | Partial Differential | | 编辑 | William E. Schiesser | | 视频video | | | 丛书名称 | Synthesis Lectures on Biomedical Engineering | | 图书封面 |  | | 描述 | .This book has a two-fold purpose:..(1) An introduction to the computer-based modeling of influenza, a continuing major worldwide communicable disease...(2) The use of (1) as an illustration of a methodology for the computer-based modeling of communicable diseases...For the purposes of (1) and (2), a basic influenza model is formulated as a system of partial differential equations (PDEs) that define the spatiotemporal evolution of four populations: susceptibles, untreated and treated infecteds, and recovereds. The requirements of a well-posed PDE model are considered, including the initial and boundary conditions. The terms of the PDEs are explained. ..The computer implementation of the model is illustrated with a detailed line-by-line explanation of a system of routines in R (a quality, open-source scientific computing system that is readily available from the Internet). The R routines demonstrate the straightforward numerical solution ofa system of nonlinear PDEs by the method of lines (MOL), an established general algorithm for PDEs...The presentation of the PDE modeling methodology is introductory with a minumum of formal mathematics (no theorems and proofs), and with emphasis | | 出版日期 | Book 2019 | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-01665-3 | | isbn_softcover | 978-3-031-00537-4 | | isbn_ebook | 978-3-031-01665-3Series ISSN 1930-0328 Series E-ISSN 1930-0336 | | issn_series | 1930-0328 | | copyright | Springer Nature Switzerland AG 2019 |
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发表于 2025-3-21 19:02:53
