Description
Computational and Statistical Methods for Chemical Engineering provides a thorough exploration of advanced mathematical techniques essential for modern chemical engineering practice. The text integrates computational algorithms with statistical analysis, offering engineers the tools needed to model, simulate, and optimize chemical processes.
Authored by Wim P. Krijnen and Ernst C. Wit, this Chapman & Hall publication covers numerical methods, statistical inference, and data analysis with direct relevance to chemical engineering applications. The book addresses practical challenges such as process optimization, parameter estimation, and uncertainty quantification.
Ideal for both practitioners and students, this resource bridges the gap between theoretical concepts and real-world implementation. It equips readers with programming techniques and statistical frameworks for analyzing experimental data and improving process design and control strategies.
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