Mathematical Biology II Spatial Models and Biomedical Applications

Mathematical Biology II Spatial Models and Biomedical Applications by J.D. Murray, published by Springer New York on May 22, 2013, is a comprehensive resource that explores the advancements in mathematical biology over the past decade. This third edition, a softcover reprint of the original 2003 edition, spans 814 pages and is presented in English. The book introduces various problems in biology and highlights the significant role of mathematical modeling across multiple disciplines within the biomedical sciences.
Readers will find a detailed examination of contemporary issues in mathematical biology, including applications such as modeling marital interaction, cancer tumor growth, and wolf territoriality. The text emphasizes fundamental modeling concepts while establishing connections between theoretical models and experimental data. With its broad perspective on theoretical and mathematical biology, this edition serves as a valuable foundation for interdisciplinary research in fields such as biophysics, ecology, and biomedical engineering.
Official synopsis Publisher
In the ten years since the first edition of this book appeared the field of mathematical biology has grown at an astonishing rate and has established itself as a distinct discipline. Mathematical modelling is now being applied in every major discipline in the biomedical sciences. Though the field has become increasingly large and specialized, this book remains important as a text that introduces some of the exciting problems that arise in biology and gives some indication of the wide spectrum of questions that modelling can address. Due to this tremendous development in recent years, for this new edition Murray is covering certain items in depth, giving new applications such as modelling marital interaction, growth of cancer tumours, temperature sex determination, wolf territoriality, wolf-deer survival etc. In other areas he discusses basic modelling concepts and provides further references as needed. He also provides even closer links between models and experimental data throughout the text. The book continues to present a broad view of the field of theoretical and mathematical biology and gives us an excellent background from which to begin genuine interdisciplinary research in the biomedical sciences.
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