Numerical Optimization for Chemical Engineers in MATLAB

Designing efficient chemical processes requires finding the absolute lowest operating costs and optimal operating conditions. This text-only course guides you from the fundamental mathematical concepts of global optimization to writing robust, clean MATLAB code that solves complex chemical engineering design problems. What you'll learn: Understand foundational numerical optimization concepts and cost function formulation; Write structured MATLAB scripts and functions to model chemical processes; Implement local and global minimization algorithms to find optimal operating points; Practice vectorization techniques to improve the performance of your numerical solvers; Analyze sensitivity and constraints to ensure realistic engineering solutions. You will start with core mathematical definitions of optimization before progressing to hands-on MATLAB implementations of cost functions, constraint handling, and multi-variable solvers. Perfect for chemical engineering students, process engineers, and beginners to numerical methods who want to apply MATLAB to real-world optimization challenges. No advanced programming experience is required. Start mastering chemical process optimization today.