Softcover ISBN: | 978-0-8218-7286-4 |
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eBook ISBN: | 978-1-4704-1765-9 |
Product Code: | CLN/22.E |
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AMS Member Price: | $26.40 |
Softcover ISBN: | 978-0-8218-7286-4 |
eBook: ISBN: | 978-1-4704-1765-9 |
Product Code: | CLN/22.B |
List Price: | $68.00 $51.50 |
MAA Member Price: | $61.20 $46.35 |
AMS Member Price: | $54.40 $41.20 |
Softcover ISBN: | 978-0-8218-7286-4 |
Product Code: | CLN/22 |
List Price: | $35.00 |
MAA Member Price: | $31.50 |
AMS Member Price: | $28.00 |
eBook ISBN: | 978-1-4704-1765-9 |
Product Code: | CLN/22.E |
List Price: | $33.00 |
MAA Member Price: | $29.70 |
AMS Member Price: | $26.40 |
Softcover ISBN: | 978-0-8218-7286-4 |
eBook ISBN: | 978-1-4704-1765-9 |
Product Code: | CLN/22.B |
List Price: | $68.00 $51.50 |
MAA Member Price: | $61.20 $46.35 |
AMS Member Price: | $54.40 $41.20 |
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Book DetailsCourant Lecture NotesVolume: 22; 2011; 149 ppMSC: Primary 35; 37; 46; 62; 92; 97; 00; 34
Complex diseases involve most aspects of population biology, including genetics, demographics, epidemiology, and ecology. Mathematical methods, including differential, difference, and integral equations, numerical analysis, and random processes, have been used effectively in all of these areas. The aim of this book is to provide sufficient background in such mathematical and computational methods to enable the reader to better understand complex systems in biology, medicine, and the life sciences. It introduces concepts in mathematics to study population phenomena with the goal of describing complicated aspects of a disease, such as malaria, involving several species.
The book is based on a graduate course in computational biology and applied mathematics taught at the Courant Institute of Mathematical Sciences in fall 2010. The mathematical level is kept to essentially advanced undergraduate mathematics, and the results in the book are intended to provide readers with tools for performing more in-depth analysis of population phenomena.
Titles in this series are co-published with the Courant Institute of Mathematical Sciences at New York University.
ReadershipGraduate students and research mathematicians intrested in mathematical biology, population biology, system biology, computational biology, and epidemiology.
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Table of Contents
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Chapters
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Chapter 1. Population dynamics
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Chapter 2. Random processes
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Chapter 3. Microbial ecology
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Chapter 4. Propagation of epidemic diseases
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Chapter 5. Population genetics
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Chapter 6. Stratifications of disease systems
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Chapter 7. MATLAB® programs
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Additional Material
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RequestsReview Copy – for publishers of book reviewsAccessibility – to request an alternate format of an AMS title
- Book Details
- Table of Contents
- Additional Material
- Requests
Complex diseases involve most aspects of population biology, including genetics, demographics, epidemiology, and ecology. Mathematical methods, including differential, difference, and integral equations, numerical analysis, and random processes, have been used effectively in all of these areas. The aim of this book is to provide sufficient background in such mathematical and computational methods to enable the reader to better understand complex systems in biology, medicine, and the life sciences. It introduces concepts in mathematics to study population phenomena with the goal of describing complicated aspects of a disease, such as malaria, involving several species.
The book is based on a graduate course in computational biology and applied mathematics taught at the Courant Institute of Mathematical Sciences in fall 2010. The mathematical level is kept to essentially advanced undergraduate mathematics, and the results in the book are intended to provide readers with tools for performing more in-depth analysis of population phenomena.
Titles in this series are co-published with the Courant Institute of Mathematical Sciences at New York University.
Graduate students and research mathematicians intrested in mathematical biology, population biology, system biology, computational biology, and epidemiology.
-
Chapters
-
Chapter 1. Population dynamics
-
Chapter 2. Random processes
-
Chapter 3. Microbial ecology
-
Chapter 4. Propagation of epidemic diseases
-
Chapter 5. Population genetics
-
Chapter 6. Stratifications of disease systems
-
Chapter 7. MATLAB® programs