Computational Optimization: Success in Practice

This textbook provides a guided tutorial for constructing a computational frame for optimization, applied to real-life models. It covers theoretical fundamentals, practical examples, and MATLAB® implementation, with platform-independent scripts and problems. It is valuable for graduate students, faculty, and researchers in math, computer science, engineering, and optimization techniques.

Format: Hardback
Length: 390 pages
Publication date: 17 February 2023
Publisher: Taylor & Francis Ltd

Computational Optimization: Success in Practice is a comprehensive textbook that provides a guided tutorial on the theoretical fundamentals of computational optimization, while also showcasing practical examples used for constructing computational frames applied to various real-life models. The book aims to lead readers through the entire process of building a computational optimization framework, from simple calculus examples of fitting data to constructing a multi-component framework for running PDE-constrained optimization.

The framework is assembled piece by piece, allowing readers to apply it at the complexity level matching their current projects or research needs. By connecting examples with theory and discussing the proper communication between them, readers will learn the process of creating a big house. Additionally, the book provides a framework exemplified in MATLAB® that readers can use as a template for their research or course problems.

The book is designed for students, faculty, and researchers, and features several key aspects. The main optimization framework builds through course exercises and centers on MATLAB®, with all other scripts for implementing computations for solving optimization problems with various models using only open-source software, such as FreeFEM. All computational steps are platform-independent, allowing readers to freely use Windows, macOS, or Linux systems. All scripts illustrating every step in building the optimization framework will be available to readers online.

Each chapter contains problems based on the examples provided in the text and associated scripts. Readers will not need to create the scripts from scratch but rather modify the codes provided as a supplement to the book.

In conclusion, Computational Optimization: Success in Practice is a valuable resource for students, faculty, and researchers interested in learning the theoretical fundamentals and practical applications of computational optimization. The book's comprehensive tutorial and hands-on examples provide readers with the skills and knowledge needed to build a computational optimization framework and apply it to real-life models. With its platform-independent approach and online resources, the book is an excellent tool for advancing research and development in the field.

Weight: 802g
Dimension: 162 x 240 x 25 (mm)
ISBN-13: 9781032229478