Mathematical and Experimental Modeling of Physical and Biological Processes

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Taylor & Francis, Jan 12, 2009 - Mathematics - 298 pages
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Through several case study problems from industrial and scientific research laboratory applications, Mathematical and Experimental Modeling of Physical and Biological Processes provides students with a fundamental understanding of how mathematics is applied to problems in science and engineering. For each case study problem, the authors discuss why a model is needed and what goals can be achieved with the model.

Exploring what mathematics can reveal about applications, the book focuses on the design of appropriate experiments to validate the development of mathematical models. It guides students through the modeling process, from empirical observations and formalization of properties to model analysis and interpretation of results. The authors also describe the hardware and software tools used to design the experiments so faculty/students can duplicate them.

Integrating real-world applications into the traditional mathematics curriculum, this textbook deals with the formulation and analysis of mathematical models in science and engineering. It gives students an appreciation of the use of mathematics and encourages them to further study the applied topics. Real experimental data for projects can be downloaded from CRC Press Online.

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Contents

Contents
1
Modeling and Inverse Problems
7
References
15
Copyright

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About the author (2009)

Banks is University Professor and Drexel Professor of Mathematics and Director of the Center for Research in Scientific Computation at North Carolina State University. He is also a Director of the Statistical and Applied Mathematical Sciences Institute in North Carolina.

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