Differential and differential-algebraic systems for the chemical engineer

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Engineers and applied scientists often encounter complex systems that lack rigorous mathematical solutions. To predict and analyze the behavior of these systems, numerical approximations are essential, relying on real-life measurements or simpler model behaviors. This guide serves as a practical companion for engineers using numerical methods to tackle complex mathematical challenges. It elucidates the theory behind current numerical techniques and provides a step-by-step approach to their application. Focusing on differential and differential-algebraic systems, the volume includes numerous industrial case studies to clarify these intricate topics. It details methods and innovative strategies implemented in the freely available BzzMath toolbox, developed by the authors, which offers up-to-date software tools for the discussed methods. A variety of examples, sample codes, and applications span multiple scientific and engineering fields, including chemical and electrical engineering, physics, medicine, and environmental science. Consequently, engineers and scientists can optimize processes prior to laboratory work. Additional online resources feature the latest BzzMath Library version, installation tutorials, and all examples and codes presented in the book, along with further illustrative examples.