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Mathematical Methods for Analysis of a Complex Disease
 
Frank C. Hoppensteadt Courant Institute of Mathematical Sciences, New York University, New York, NY
A co-publication of the AMS and Courant Institute of Mathematical Sciences at New York University
Mathematical Methods for Analysis of a Complex Disease
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
Mathematical Methods for Analysis of a Complex Disease
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Mathematical Methods for Analysis of a Complex Disease
Frank C. Hoppensteadt Courant Institute of Mathematical Sciences, New York University, New York, NY
A co-publication of the AMS and Courant Institute of Mathematical Sciences at New York University
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
  • Book Details
     
     
    Courant Lecture Notes
    Volume: 222011; 149 pp
    MSC: 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.

    Readership

    Graduate students and research mathematicians intrested in mathematical biology, population biology, system biology, computational biology, and epidemiology.

  • Table of Contents
     
     
    • 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
  • Requests
     
     
    Review Copy – for publishers of book reviews
    Accessibility – to request an alternate format of an AMS title
Volume: 222011; 149 pp
MSC: 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.

Readership

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
Review Copy – for publishers of book reviews
Accessibility – to request an alternate format of an AMS title
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