Hands-On Mathematical Optimization with Python

Reviews / Votes

'This is a fantastic textbook on optimization! It contains the right mix of theoretical and more practical optimization aspects. Several chapters contain more recent important developments, e.g., conic and robust optimization. Moreover, the Python codes provided make this textbook really 'hands-on'. It is clear that the authors are not only experts in optimization theory, but also have applied optimization in practice themselves.' Dick den Hertog, University of Amsterdam 'This book delivers state-of-the-art models and their implementation. I highly recommend it to anyone interested in practical application of optimization.' David Woodruff, University of California, Davis 'This book is a great tool for instructors and students in Engineering, Business Analytics and many other areas for learning Mathematical Optimisation using Python code language. It is also good for senior researchers in Operations Research that are willing to adopt Python in their research and teaching.' Belen Martin-Barragan, University of Edinburgh 'Hands-On Mathematical Optimization with Python' fills a crucial gap in educational resources, providing both students and practitioners with an invaluable tool for mastering optimization models through practical Python programming. With clear guidance and hands-on exercises, this textbook empowers learners to not only understand but also implement optimization techniques effectively.' Bhupesh Shetty, Drexel University 'This book does an excellent job at teaching the reader how to set up and solve many types of optimization problems. It would be extremely useful to any practitioner of optimization theory across a multitude of applications. I believe that its readers will have gained very valuable expertise, since setting up an optimization formulation that reflects the problem at hand may often be the most challenging part. To maximize the book's utility, I would recommend its user to have a solid background on mathematical theory behind optimization techniques.' Slava Krigman, Boston University '... I like it a lot. In particular, the Pyomo examples are excellent. The text is mainly aimed at a graduate student audience but there are portions that would be accessible to even a high school student and I may use some portions of the text to help craft my lectures to undergraduate students at my college.' Will Traves, United States Naval Academy 'This book fills a gap in the literature. It is a bridge between computer programming and mathematical optimization.' Joao Faria, Florida Atlantic University