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LINEAR MATHEMATICAL MODELS IN CHEMICAL ENGINEERING
by Martin A Hjortso & Peter Wolenski (Louisiana State University, USA)
Understanding the mathematical modeling of chemical processes is fundamental to the successful career of a researcher in chemical engineering. This book reviews, introduces, and develops the mathematics that is most frequently encountered in sophisticated chemical engineering models.
The result of a collaboration between a chemical engineer and a mathematician, both of whom have taught classes on modeling and applied mathematics, the book provides a rigorous and in-depth coverage of chemical engineering model formulation and analysis as well as a text which can serve as an excellent introduction to linear mathematics for engineering students. There is a clear focus in the choice of material, worked examples, and exercises that make it unusually accessible to the target audience. The book places a heavy emphasis on applications to motivate the theory, but simultaneously maintains a high standard of rigor to add mathematical depth and understanding.
Contents:
- Model Formulation
- Some Ordinary Differential Equations
- Finite
Dimensional Vector Spaces
- Linear Operators
- Linear Difference Equations
- Linear Differential Equations
- Hilbert Spaces
- PDEs Over Finite Domains
- First Order PDEs
- Problems
Readership: Graduate students, academics and researchers in chemical
engineering.
| 600pp (approx.) |
Pub. date: Scheduled Spring 2009 |
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