Mathematical Modeling In The Life Science
(Paul Doucet; Peter B. Sloep)
The book is wriiten for life scientists who do not have advanced
training in mathematics, such as linear algebra, inferential statistics
and differntial equations, and yet are in need of applying these
approaches to their biological problems that they are studying.
The first 5 chapters provide an overview of differential equations
(ordinary differntial equations, partial differential euations), their
classifications (autonomous, linear) and how to solve them. Differnce
equations and the system theory are also introduced. All the concepts
are illustrated with examples, avoiding abstract proof involved.
The book's intent is to help life scientists to make a head start
without delving into the theoritical mathematics. Chapetrs after
chapter 6 discuss various real examples readers would encouter in their
reaesrch and provide recipies to model or solve these problems. Readers
can follow the chapter order given by the book to have a comprehensive
view about how modeling can be applied in various life science
sub-fields, or pick up specifc chapters in which their intersted
topics are discussed.
Refrences are given at the end of each chapter, so intersted readers
can refer to those advanced texts for more in depth coverage on the
topic. 5~10 questions are given related to the topic of each chapter.
Answers to the selected questions are provided in the appendix section
of the book.
Resumos Relacionados
- Intermediate Algebra ; 3rd Edition
- Arithmetic
- Probabilities And Life
- Applied Abstract Algebra
- Introduction To The Theory Of Computation
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