Optimization in Chemical Engineering

Optimization in Chemical Engineering discusses formulation and problem solving with the help of algorithms such as secant method, quasi-Newton method, linear programming, and dynamic programming. The book begins by explaining fundamental concepts, followed by an elucidation of various modern techniques including trust-region methods, Levenberg-Marquardt algorithms, stochastic optimization, simulated annealing, and statistical optimization. The text also uses solved examples to explain important chemical processes such as fluid flow systems, heat exchangers, chemical reactors, and distillation systems. 

A separate chapter covers theory and application using MATLAB, Curve Fitting Toolbox, Global Optimization Toolbox, and Optimization Toolbox.