Mathematical Methods and Models in Biomedicine
. Ed(S): Ledzewicz, Ursula; Schaettler, Heinz; Friedman, Avner; Kashdan, Eugene
€ 139.84
FREE Delivery in Ireland
Description for Mathematical Methods and Models in Biomedicine
Paperback. Illustrates the breadth and depth of research opportunities that exist in the general field of mathematical biomedicine by highlighting some of the interactions that continue to develop between the mathematical and biomedical sciences. This title addresses topics such as cancer stem cells, immunodominance and viral epitopes, and more. Editor(s): Ledzewicz, Ursula; Schaettler, Heinz; Friedman, Avner; Kashdan, Eugene. Series: Lecture Notes on Mathematical Modelling in the Life Sciences. Num Pages: 427 pages, 94 black & white illustrations, biography. BIC Classification: PBWH. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 22. Weight in Grams: 613.
Mathematical biomedicine is a rapidly developing interdisciplinary field of research that connects the natural and exact sciences in an attempt to respond to the modeling and simulation challenges raised by biology and medicine. There exist a large number of mathematical methods and procedures that can be brought in to meet these challenges and this book presents a palette of such tools ranging from discrete cellular automata to cell population based models described by ordinary differential equations to nonlinear partial differential equations representing complex time- and space-dependent continuous processes. Both stochastic and deterministic methods are employed to analyze biological phenomena in ... Read more
Mathematical biomedicine is a rapidly developing interdisciplinary field of research that connects the natural and exact sciences in an attempt to respond to the modeling and simulation challenges raised by biology and medicine. There exist a large number of mathematical methods and procedures that can be brought in to meet these challenges and this book presents a palette of such tools ranging from discrete cellular automata to cell population based models described by ordinary differential equations to nonlinear partial differential equations representing complex time- and space-dependent continuous processes. Both stochastic and deterministic methods are employed to analyze biological phenomena in ... Read more
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer-Verlag New York Inc. United States
Number of pages
427
Condition
New
Series
Lecture Notes on Mathematical Modelling in the Life Sciences
Number of Pages
427
Place of Publication
New York, NY, United States
ISBN
9781461441779
SKU
V9781461441779
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Mathematical Methods and Models in Biomedicine