The readers will not need to create the scripts from scratch, but rather modify the codes provided as a supplement to the book Each chapter contains problems based on the examples provided in the text and associated scripts.All scripts illustrating every step in building the optimization framework will be available to the readers online.All computational steps are platform-independent readers may freely use Windows, macOS, or Linux systems.All other scripts to implement computations for solving optimization problems with various models use only open-source software, e.g., FreeFEM.The main optimization framework builds through the course exercises and centers on MATLAB®.This book is for students, faculty, and researchers. This framework will be assembled piece by piece the readers may apply this process at the levels of complexity matching their current projects or research needs.īy connecting examples with the theory and discussing the proper "communication" between them, the readers will learn the process of creating a "big house." Moreover, they can use the framework exemplified in the book as the template for their research or course problems – they will know how to change the single "bricks" or add extra "floors" on top of that. They will start with the simple calculus examples of fitting data and basics of optimal control methods and end up constructing a multi-component framework for running PDE-constrained optimization. This textbook offers a guided tutorial that reviews the theoretical fundamentals while going through the practical examples used for constructing the computational frame, applied to various real-life models.Ĭomputational Optimization: Success in Practice will lead the readers through the entire process.
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