This classic work gives an excellent overview of the subject, with an emphasis on clarity, explanation, and motivation. Extensive exercises and a valuable section containing hints and answers make this an excellent text for both classroom use and independent study.
Professor Segel, author of the highly acclaimed Modeling Dynamic Phenomena in Molecular and Cellular Biology, in conjunction with Professor Odell, has now produced on disc a series of programs which, together with the accompanying manual, will form an invaluable teaching and research tool, designed to integrate computer usage into a course on mathematical modelling for biologists. They will not only introduce students to the subject, but also enable them to conduct their own computer simulations. Written in the powerful programming language 'C' and able to run on IBMAT equipped with a mathematics co-processor, the programs art- designed to allow students to choose from a variety of options at each stage. No previous programming experience is required. Included in each book is a form which can be returned to obtain a free copy of the disc.
Professor Segel, author of the highly acclaimed Modeling Dynamic Phenomena in Molecular and Cellular Biology, in conjunction with Professor Odell, has now produced on disc a series of programs which, together with the accompanying manual, will form an invaluable teaching and research tool, designed to integrate computer usage into a course on mathematical modelling for biologists. They will not only introduce students to the subject, but also enable them to conduct their own computer simulations. Written in the powerful programming language 'C' and able to run on IBMAT equipped with a mathematics co-processor, the programs art- designed to allow students to choose from a variety of options at each stage. No previous programming experience is required. Included in each book is a form which can be returned to obtain a free copy of the disc.
The dynamic development of various processes is a central problem of biology and indeed of all the sciences. The mathematics describing that development is, in general, complicated, because the models that are realistic are usually nonlinear. Consequently many biologists may not notice a possible application of theory. They may be unable to decide whether a particular model captures the essence of a system, or to appreciate that analysis of a model can reveal important aspects of biological problems and may even describe in detail how a system works. The aim of this textbook is to remedy the situation by adopting a general approach to model analysis and applying it several times to problems (drawn primarily from molecular and cellular biology) of gradually increasing biological and mathematical complexity. Although material of considerable sophistication is included, little mathematical background is required - only some exposure to elementary calculus; appendixes supply the necessary mathematics and the author concentrates on concepts rather than techniques. He also emphasizes the role of computers in giving a full picture of model behavior and complementing more qualitative analysis. Some problems suitable for computer analysis are also included. This is a class-tested textbook suitable for a one-semester course for advanced undergraduate and beginning graduate students in biology or applied mathematics. It can also be used as a source book for teachers and a reference for specialists.
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