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A Guide to Numerical Modelling in Systems Biology / / by Peter Deuflhard, Susanna Röblitz



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Autore: Deuflhard Peter Visualizza persona
Titolo: A Guide to Numerical Modelling in Systems Biology / / by Peter Deuflhard, Susanna Röblitz Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Edizione: 1st ed. 2015.
Descrizione fisica: 1 online resource (X, 168 p. 42 illus., 33 illus. in color.)
Disciplina: 515.352
Soggetto topico: Differential equations
Applied mathematics
Engineering mathematics
Biomathematics
Computer simulation
Physics
Ordinary Differential Equations
Applications of Mathematics
Mathematical and Computational Biology
Simulation and Modeling
Numerical and Computational Physics, Simulation
Persona (resp. second.): RöblitzSusanna
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di contenuto: Preface -- Outline -- ODE Models for Systems Biological Networks -- Numerical Simulation of ODE Models -- Parameter Identification in ODE Models -- Appendix -- Software -- Index.
Sommario/riassunto: This book is intended for students of computational systems biology with only a limited background in mathematics. Typical books on systems biology merely mention algorithmic approaches, but without offering a deeper understanding. On the other hand, mathematical books are typically unreadable for computational biologists. The authors of the present book have worked hard to fill this gap. The result is not a book on systems biology, but on computational methods in systems biology. This book originated from courses taught by the authors at Freie Universität Berlin. The guiding idea of the courses was to convey those mathematical insights that are indispensable for systems biology, teaching the necessary mathematical prerequisites by means of many illustrative examples and without any theorems. The three chapters cover the mathematical modelling of biochemical and physiological processes, numerical simulation of the dynamics of biological networks, and identification of model parameters by means of comparisons with real data. Throughout the text, the strengths and weaknesses of numerical algorithms with respect to various systems biological issues are discussed. Web addresses for downloading the corresponding software are also included.  .
Titolo autorizzato: A Guide to Numerical Modelling in Systems Biology  Visualizza cluster
ISBN: 3-319-20059-3
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910299787303321
Lo trovi qui: Univ. Federico II
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Serie: Texts in Computational Science and Engineering, . 1611-0994 ; ; 12