Guide to Mathematical Modelling (Volume 1)

“Guide to Mathematical Modelling (Volume 1)” by Dilwyn Edwards, published by Industrial Press, Inc. in April 2007, is a comprehensive resource that introduces readers to the fundamentals of mathematical modeling. This second edition spans 320 pages and is presented in English. The book encourages active participation through a variety of carefully paced modeling examples, allowing readers to identify and develop essential skills required for successful modeling.
Readers will find a detailed presentation of modeling methodology, including coverage of discrete models that require outcomes at specific time intervals, as well as continuous models often encountered in physics and engineering. The text includes twelve new examples used by student groups, a chapter on difference equations, and a section dedicated to communication skills, which helps students articulate the concepts behind their models. The book also addresses problems with random features that necessitate statistical analysis, providing a well-rounded approach to mathematical modeling.
Official synopsis Publisher
A basic introduction to Mathematical Modeling, this book encourages readers to participate in the investigation of a wide variety of modeling examples. These are carefully paced so that readers can identify and develop the skills which are required for successful modeling. The examples also promote an appreciation of the enormous range of problems to which mathematical modeling skills can be usefully applied. Contains 12 examples that are completely new and have been used by student groups. The chapter on difference equations is new to this edition. Presents modeling methodology in detail and includes the essential skills for producing a successful model. Provides coverage of ‘discrete’ models where the outcome is needed at discrete time intervals, such as hourly, daily, and yearly. Investigates models in which the variables are continuous functions of time, such as often occurs in physics and engineering problems. Covers problems that include a random feature that demand some statistical analysis. Presents a collection of more demanding examples, some of which are fully developed while others are left for students to process. Offers a chapter on communication skills, enabling students to explain the ideas behind the model to other people.
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