This book determines adjustable parameters in mathematical models that describe steady state or dynamic systems, presenting the most important optimization methods used for parameter estimation. It focuses on the Gauss-Newton method and its modifications for systems and processes represented by algebraic or differential equation models. | Applied Parameter Estimation For Chemical Engineers by Peter Englezos, Paperback | Indigo Chapters