Lecture Notes on Mathematical Modelling in the Life Sciences
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Lecture Notes on Mathematical Modelling in the Life Sciences
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Lecture Notes on Mathematical Modelling in the Life Sciences
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- Methods and Models in Mathematical Biology, Deterministic and Stochastic Approaches, by Johannes Müller, Christina Kuttler
- Introduction to Reaction-Diffusion Equations, Theory and Applications to Spatial Ecology and Evolutionary Biology, by King-Yeung Lam, Yuan Lou
- Topics in Mathematical Biology, by Karl Peter Hadeler
- Mathematical Methods for Cancer Evolution, by Takashi Suzuki
- Stochastic Chemical Reaction Systems in Biology, by Hong Qian, Hao Ge
- Mathematical Modeling of Biological Processes, by Avner Friedman, Chiu-Yen Kao
- Simple Mathematical Models of Gene Regulatory Dynamics, by Michael C. Mackey, Moisés Santillán, Marta Tyran-Kamińska, Eduardo S. Zeron
- Differential Equations and Population Dynamics I, Introductory Approaches, by Arnaud Ducrot, Quentin Griette, Zhihua Liu, Pierre Magal
- Meta-Ecosystem Dynamics, Understanding Ecosystems Through the Transformation and Movement of Matter, by Frederic Guichard, Justin Marleau
- Systems Biology, Modeling, Analysis, and Simulation, by Jinzhi Lei
- Transmission Dynamics of Tick-Borne Diseases with Co-Feeding, Developmental and Behavioural Diapause, by Jianhong Wu, Xue Zhang
- The Basic Approach to Age-Structured Population Dynamics, Models, Methods and Numerics, by Mimmo Iannelli, Fabio Milner
- Parabolic Equations in Biology, Growth, reaction, movement and diffusion, by Benoît Perthame
- Delay and Uncertainty in Human Balancing Tasks, by Tamás Insperger, John Milton
- Data-driven Modelling of Structured Populations, A Practical Guide to the Integral Projection Model, by Stephen P. Ellner, Dylan Z. Childs, Mark Rees