A powerful, unified approach to mathematical and computational
modeling in science and engineering
Mathematical and computational modeling makes it possible to
predict the behavior of a broad range of systems across a broad
range of disciplines. This text guides students and professionals
through the axiomatic approach, a powerful method that will enable
them to easily master the principle types of mathematical and
computational models used in engineering and science. Readers will
discover that this axiomatic approach not only enables them to
systematically construct effective models, it also enables them to
apply these models to any macroscopic physical system.
"Mathematical Modeling in Science and Engineering" focuses on
models in which the processes to be modeled are expressed as
systems of partial differential equations. It begins with an
introductory discussion of the axiomatic formulation of basic
models, setting the foundation for further topics such as:
Mechanics of classical and non-classical continuous systems
Solute transport by a free fluid
Flow of a fluid in a porous medium
Multiphase systems
Enhanced oil recovery
Fluid mechanics
Throughout the text, diagrams are provided to help readers
visualize and better understand complex mathematical concepts. A
set of exercises at the end of each chapter enables readers to put
their new modeling skills into practice. There is also a
bibliography in each chapter to facilitate further investigation of
individual topics.
"Mathematical Modeling in Science and Engineering" is ideal for
both students and professionals across the many disciplines of
science and engineering that depend on mathematical and
computational modeling to predict and understand complex
systems.
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