Suitable for a first-year graduate course, this textbook unites the applications of numerical mat... more Suitable for a first-year graduate course, this textbook unites the applications of numerical mathematics and scientific computing to the practice of chemical engineering. Written in a pedagogic style, the book describes basic linear and nonlinear algebraic systems all the way through to stochastic methods, Bayesian statistics, and parameter estimation. These subjects are developed at a nominal level of theoretical mathematics suitable for graduate engineers. The implementation of numerical methods in M ® is integrated within each chapter and numerous examples in chemical engineering are provided, together with a library of corresponding M programs. Although the applications focus on chemical engineering, the treatment of the topics should also be of interest to non-chemical engineers and other applied scientists that work with scientific computing. This book will provide the graduate student with the essential tools required by industry and research alike.
Suitable for a first-year graduate course, this textbook unites the applications of numerical mat... more Suitable for a first-year graduate course, this textbook unites the applications of numerical mathematics and scientific computing to the practice of chemical engineering. Written in a pedagogic style, the book describes basic linear and nonlinear algebraic systems all the way through to stochastic methods, Bayesian statistics, and parameter estimation. These subjects are developed at a nominal level of theoretical mathematics suitable for graduate engineers. The implementation of numerical methods in M ® is integrated within each chapter and numerous examples in chemical engineering are provided, together with a library of corresponding M programs. Although the applications focus on chemical engineering, the treatment of the topics should also be of interest to non-chemical engineers and other applied scientists that work with scientific computing. This book will provide the graduate student with the essential tools required by industry and research alike.
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