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020 _a9781461490968
_9978-1-4614-9096-8
024 7 _a10.1007/978-1-4614-9096-8
_2doi
035 _ato000541170
040 _aSpringer
_cSpringer
_dRU-ToGU
050 4 _aQH323.5
050 4 _aQH324.2-324.25
072 7 _aPDE
_2bicssc
072 7 _aMAT003000
_2bisacsh
082 0 4 _a570.285
_223
100 1 _aMilton, John.
_eauthor.
_9445736
245 1 0 _aMathematics as a Laboratory Tool
_helectronic resource
_bDynamics, Delays and Noise /
_cby John Milton, Toru Ohira.
260 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2014.
300 _aXXV, 500 p. 162 illus., 4 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
505 0 _aScience and the mathematics of black boxes -- The mathematics of change -- Equilibria and steady states -- Stability -- Fixed–points: Creation and destruction -- Transient dynamics -- Frequency domain I: Bode plots and transfer functions -- Frequency domain II: Fourier analysis and power spectra -- Feedback and control systems -- Oscillations -- Beyond limit cycles -- Random perturbations -- Noisy dynamical systems -- Random walkers -- Thermodynamic perspectives.
520 _aThe importance of mathematics in the undergraduate biology curriculum is ever increasing, as is the importance of biology within the undergraduate applied mathematics curriculum. This ambitious forward thinking book  strives to make concrete  connections between the two fields at the undergraduate level, bringing in a wide variety of mathematical  methods  such as  signal processing, systems identification, and stochastic differential equations to an undergraduate audience interested in biological dynamics. The presentation stresses a practical hands-on approach: important concepts are introduced using linear first- or second-order differential equations that can be solved using “pencil and paper”; next, these are extended to “real world” applications through the use of computer algorithms written in Scientific Python or similar software. This book developed from a course taught by Professor John Milton at the University of Chicago and developed and continued over many years with Professor Toru Ohira at the Claremont Colleges. The tone of the book is pedagogical, engaging, accessible, with lots of examples and exercises. The authors attempt to tread a line between accessibility of the text and mathematical exposition. Online laboratories are provided as a teaching aid.  At the beginning of each chapter a number of questions are posed to the reader, and then answered at the conclusion of the chapter.     Milton and Ohira’s book is aimed at an undergraduate audience, makes close ties to the laboratory, and includes a range of biological applications, favoring  physiology. This makes it a unique contribution to the literature. This book will be of interest to quantitatively inclined undergraduate biologists, biophysicists and bioengineers and in addition through its focus on techniques actually used by biologists, the authors hope this  text will help shape curricula in biomathematics education going forward. Review: "Based on the authors' experience teaching biology students, this book introduces a wide range of mathematical techniques in a lively and engaging style.  Examples drawn from the authors' experimental and neurological studies provide a rich source of material for computer laboratories that solidify the concepts.  The book will be an invaluable resource for biology students and scientists interested in practical applications of mathematics to analyze mechanisms of complex biological rhythms."  (Leon Glass, McGill University, 2013).
650 0 _amathematics.
_9566183
650 0 _aNeurology.
_9303067
650 0 _aCytology.
_9269442
650 1 4 _aMathematics.
_9566184
650 2 4 _aMathematical and Computational Biology.
_9411705
650 2 4 _aNeurology.
_9303067
650 2 4 _aCell Physiology.
_9413701
700 1 _aOhira, Toru.
_eauthor.
_9445737
710 2 _aSpringerLink (Online service)
_9143950
773 0 _tSpringer eBooks
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-9096-8
912 _aZDB-2-SMA
999 _c398638