Appropriate for undergraduate and graduate students, this text features independent sections that illustrate the most important principles of mathematical modeling, a variety of applications, and classic models. The range of subjects includes topics from the physical, biological, and social sciences, as well as those of operations research. Excerises. 1984 edition.
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A textbook for an undergraduate course introducing the principles of mathematical modeling; even skipping the sections involving probability, it contains a semester's worth of material. Students should have a good knowledge of calculus and a bit of probability and matrix theory. The basic premise is that all mathematics students need an understandi
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