Mathematical Modeling Of Biological Systems Volume I
Download Mathematical Modeling Of Biological Systems Volume I full books in PDF, epub, and Kindle. Read online free Mathematical Modeling Of Biological Systems Volume I ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Mathematical Modeling of Biological Systems
Author | : Harvey J. Gold |
Publsiher | : John Wiley & Sons |
Total Pages | : 392 |
Release | : 1977 |
Genre | : Biological models |
ISBN | : UCAL:B4285115 |
Download Mathematical Modeling of Biological Systems Book in PDF, Epub and Kindle
The modeling process - an overview. Dimension and similarity. Probability models. Dynamic processes. Interacting dynamic processes. Feedback control and stability of biological systems. Curve fiting: estimating the parameters. Computing.
Mathematical Models of Biological Systems
Author | : Hugo van den Berg |
Publsiher | : OUP Oxford |
Total Pages | : 250 |
Release | : 2010-11-25 |
Genre | : Science |
ISBN | : 9780199582198 |
Download Mathematical Models of Biological Systems Book in PDF, Epub and Kindle
This interdisciplinary textbook provides a practical introduction to basic mathematical modelling methodology and analysis. It covers a variety of biological applications and uses these topics in turn to highlight key components in the art of modelling.
Mathematical Modeling of Biological Systems
Author | : Harvey J. Gold |
Publsiher | : John Wiley & Sons |
Total Pages | : 392 |
Release | : 1977 |
Genre | : Science |
ISBN | : UOM:39015001560500 |
Download Mathematical Modeling of Biological Systems Book in PDF, Epub and Kindle
The modeling process - an overview. Dimension and similarity. Probability models. Dynamic processes. Interacting dynamic processes. Feedback control and stability of biological systems. Curve fiting: estimating the parameters. Computing.
Mathematical Modeling of Biological Systems Volume I
Author | : Andreas Deutsch |
Publsiher | : Springer Science & Business Media |
Total Pages | : 408 |
Release | : 2007-07-16 |
Genre | : Mathematics |
ISBN | : STANFORD:36105129812033 |
Download Mathematical Modeling of Biological Systems Volume I Book in PDF, Epub and Kindle
This edited volume contains a selection of chapters that are an outgrowth of the - ropean Conference on Mathematical and Theoretical Biology (ECMTB05, Dresden, Germany, July 2005). The peer-reviewed contributions show that mathematical and computational approaches are absolutely essential for solving central problems in the life sciences, ranging from the organizational level of individual cells to the dynamics of whole populations. The contributions indicate that theoretical and mathematical biology is a diverse and interdisciplinary ?eld, ranging from experimental research linked to mathema- cal modeling to the development of more abstract mathematical frameworks in which observations about the real world can be interpreted, and with which new hypotheses for testing can be generated. Today, much attention is also paid to the development of ef?cient algorithms for complex computation and visualisation, notably in molecular biology and genetics. The ?eld of theoretical and mathematical biology and medicine has profound connections to many current problems of great relevance to society. The medical, industrial, and social interests in its development are in fact indisputable.
Mathematical Modeling in Systems Biology
Author | : Brian P. Ingalls |
Publsiher | : MIT Press |
Total Pages | : 423 |
Release | : 2022-06-07 |
Genre | : Science |
ISBN | : 9780262545822 |
Download Mathematical Modeling in Systems Biology Book in PDF, Epub and Kindle
An introduction to the mathematical concepts and techniques needed for the construction and analysis of models in molecular systems biology. Systems techniques are integral to current research in molecular cell biology, and system-level investigations are often accompanied by mathematical models. These models serve as working hypotheses: they help us to understand and predict the behavior of complex systems. This book offers an introduction to mathematical concepts and techniques needed for the construction and interpretation of models in molecular systems biology. It is accessible to upper-level undergraduate or graduate students in life science or engineering who have some familiarity with calculus, and will be a useful reference for researchers at all levels. The first four chapters cover the basics of mathematical modeling in molecular systems biology. The last four chapters address specific biological domains, treating modeling of metabolic networks, of signal transduction pathways, of gene regulatory networks, and of electrophysiology and neuronal action potentials. Chapters 3–8 end with optional sections that address more specialized modeling topics. Exercises, solvable with pen-and-paper calculations, appear throughout the text to encourage interaction with the mathematical techniques. More involved end-of-chapter problem sets require computational software. Appendixes provide a review of basic concepts of molecular biology, additional mathematical background material, and tutorials for two computational software packages (XPPAUT and MATLAB) that can be used for model simulation and analysis.
Mathematical Modeling of Complex Biological Systems
Author | : Abdelghani Bellouquid,Marcello Delitala |
Publsiher | : Springer Science & Business Media |
Total Pages | : 194 |
Release | : 2006-08-17 |
Genre | : Science |
ISBN | : 9780817643959 |
Download Mathematical Modeling of Complex Biological Systems Book in PDF, Epub and Kindle
This book describes the evolution of several socio-biological systems using mathematical kinetic theory. Specifically, it deals with modeling and simulations of biological systems whose dynamics follow the rules of mechanics as well as rules governed by their own ability to organize movement and biological functions. It proposes a new biological model focused on the analysis of competition between cells of an aggressive host and cells of a corresponding immune system. Proposed models are related to the generalized Boltzmann equation. The book may be used for advanced graduate courses and seminars in biological systems modeling.
Mathematical Modeling of Biological Systems Volume I
Author | : Andreas Deutsch,Lutz Brusch,Helen Byrne,Gerda de Vries,Hanspeter Herzel |
Publsiher | : Springer Science & Business Media |
Total Pages | : 382 |
Release | : 2007-06-15 |
Genre | : Mathematics |
ISBN | : 9780817645588 |
Download Mathematical Modeling of Biological Systems Volume I Book in PDF, Epub and Kindle
Volume I of this two-volume, interdisciplinary work is a unified presentation of a broad range of state-of-the-art topics in the rapidly growing field of mathematical modeling in the biological sciences. The chapters are thematically organized into the following main areas: cellular biophysics, regulatory networks, developmental biology, biomedical applications, data analysis and model validation. The work will be an excellent reference text for a broad audience of researchers, practitioners, and advanced students in this rapidly growing field at the intersection of applied mathematics, experimental biology and medicine, computational biology, biochemistry, computer science, and physics.
Mathematical Modeling of Biological Systems Volume II
Author | : Andreas Deutsch,Rafael Bravo de la Parra,Rob J. de Boer,Odo Diekmann,Peter Jagers,Eva Kisdi,Mirjam Kretzschmar,Petr Lansky,Hans Metz |
Publsiher | : Springer Science & Business Media |
Total Pages | : 386 |
Release | : 2007-10-12 |
Genre | : Mathematics |
ISBN | : 9780817645564 |
Download Mathematical Modeling of Biological Systems Volume II Book in PDF, Epub and Kindle
Volume II of this two-volume, interdisciplinary work is a unified presentation of a broad range of state-of-the-art topics in the rapidly growing field of mathematical modeling in the biological sciences. Highlighted throughout are mathematical and computational apporaches to examine central problems in the life sciences, ranging from the organization principles of individual cells to the dynamics of large populations. The chapters are thematically organized into the following main areas: epidemiology, evolution and ecology, immunology, neural systems and the brain, and innovative mathematical methods and education. The work will be an excellent reference text for a broad audience of researchers, practitioners, and advanced students in this rapidly growing field at the intersection of applied mathematics, experimental biology and medicine, computational biology, biochemistry, computer science, and physics.