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UNDERSTANDING NONLINEAR DYNAMICS is based on an undergraduate course taught for many years to students in the biological sciences. The text provides a clear and accessible development of many concepts from contemporary dynamics, including stability and multistability, cellular automata and excitable media, fractals, cycles, and chaos. A chapter on time-series analysis builds on this foundation to provide an introduction to techniques for extracting information about dynamics from data. The text will be useful for courses offered in the life sciences or other applied science programs, or as a supplement to emphasize the application of subjects presented in mathematics or physics courses. Extensive examples are derived from the experimental literature, and numerous exercise sets can be used in teaching basic mathematical concepts and their applications. Concrete applications of the mathematics are illustrated in such areas as biochemistry, neurophysiology, cardiology, and ecology. The text also provides an entry point for researchers not familiar with mathematics but interested in applications of nonlinear dynamics to the life sciences.
Mathematics is playing an ever more important role in the physical
and biological sciences, provoking a blurring of boundaries between
scientific disciplines and a resurgence of interest in the modern
as well as the classical techniques of applied mathematics. This
renewal of interest, both in research and teaching, has led to the
establishment of the series: Texts in Applied Mathematics ( TAM).
The development of new courses is a natural consequence of a high
level of excitement on the research frontier as newer techniques,
such as numerical and symbolic computer systems, dynamical systems,
and chaos, mix with and reinforce the traditional methods of
applied mathematics. Thus, the purpose of this textbook series is
to meet the current and future needs of these advances and
encourage the teaching of new courses. TAM will publish textbooks
suitable for use in advanced undergraduate and beginning graduate
courses, and will complement the Applied Mathematical Sciences
(AMS) series, which will focus on advanced textbooks and research
level monographs. About the Authors Daniel Kaplan specializes in
the analysis of data using techniques motivated by nonlinear
dynamics. His primary interest is in the interpretation of
irregular physiological rhythms, but the methods he has developed
have been used in geo physics, economics, marine ecology, and other
fields. He joined McGill in 1991, after receiving his Ph.D from
Harvard University and working at MIT. His un dergraduate studies
were completed at Swarthmore College. He has worked with several
instrumentation companies to develop novel types of medical
monitors."
The Hate That Never Dies Is a fast paced novel and moves between
Manchester and the warrens of the Orthodox Jewish neighbourhood of
Stamford Hill in London. A guilt-ridden young man blunders in
search of the mysterious and ancient sect which has murdered his
father. What secret are they hiding? Will he succeed in his quest
or will he, too, become the next sacrificial victim of the Hate
that Never Dies?
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