Description: Mathematical modeling is used in a wide range of disciplines to project trends, outcomes, probabilities and variables. However, setting up and manipulating mathematical models requires thought, effort and discussion beyond pure mathematics. This book represents a practical learning method for developing such models. Over 100 examples, drawn from all fields of science, engineering, and operations research, provide the basis for a "learn by doing" method of instruction. The models are enhanced by extensive documentation, with over 150 references allowing further study of models in particular areas of interest. Designed as a text for upperclass college or beginning graduate-level students, this book assumes only elementary calculus and basic probability theory for the first part, and ordinary differential equations and continuous probability for the second section. Beyond the classroom, it will prove interesting and valuable to anyone concerned with the development of mathematical models or the application of modeling to examining "real world" problems in a host of applications.

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