At Gurobi, we’re passionate about mathematical optimization and training up the next generation of optimization professionals. So whether you’re a seasoned operations research professional, or you’re just getting started with mathematical optimization, this curated list has something for you. Be sure to also check out our free training resources, as well as our personalized training options.
By H. Paul Williams
If you’ve ever wondered how to translate real-world problems into mathematical language, “Model Building in Mathematical Programming” is the book for you. This comprehensive guide takes you on a journey through the intricate landscape of mathematical optimization, breaking it down into four digestible parts.
The book intentionally avoids discussing solution methods, focusing instead on the art of modeling. Ideal for advanced students and professionals, this book is a must-read for anyone serious about mastering mathematical modeling.
By Dimitris Bertsimas and John N. Tsitsiklis
“Introduction to Linear Optimization” is a well-crafted book that offers a deep dive into the subject, from foundational principles to advanced topics. Here’s why this book stands out:
The book assumes a strong grasp of previous chapters when introducing new material, but if you’re up for the challenge, this book is an invaluable resource for mastering linear optimization.
By Robert Vanderbei
“Linear Programming: Foundations and Extensions” offers a balanced approach between theory and application, making it an ideal resource for both graduate students and professionals. Here’s what sets it apart:
Whether you’re a beginner looking to get more familiar with linear programming or an expert seeking to deepen your knowledge, this book is a valuable addition to your library.
by Stephen J. Wright
Some works stand the test of time—and Stephen Wright’s “Primal-Dual Interior-Point Methods,” published in 1987, is one such classic. Here’s why this enduring book remains relevant:
If you’re interested in understanding the roots of primal-dual algorithms and interior-point methods, this timeless classic is an essential read.
By Laurence A. Wolsey
Master the art of solving optimization problems with discrete or integer variables with Laurence A. Wolsey’s, “Integer Programming“:
If you’re serious about delving into the world of integer programming, this book offers a comprehensive, state-of-the-art guide that is both practical and theoretically sound. The second edition, published in 2020, covers new developments in column generation, Benders’ algorithm, expanded information on preprocessing, heuristics, branch-and-cut, and more.
By Frederick Hillier and Gerald Lieberman
Are you intrigued by the idea of making better decisions—decisions that are more informed, more efficient, and more impactful? If so, “Introduction to Operations Research” by Frederick Hillier and Gerald Lieberman is the book you’ve been waiting for.
For over four decades, this book has been the go-to text for students and professionals alike in the field of operations research. It’s not just a book; it’s a treasure trove of state-of-the-art, user-friendly software and real-world business applications. The authors have continuously updated the content to make it current and relevant, ensuring that you’re not just learning theories but also how to apply them in today’s fast-paced world.
Two key features make this book a must-read.
If you’re ready to elevate your decision-making skills and delve into the fascinating world of operations research, this book is your ultimate guide.
By Tony Hürlimann
“Puzzles and Games: A Mathematical Modeling Approach” explores about 100 puzzles as “case studies” and represents them as mathematical models. By dissecting the mechanics of each, it offers a unique blend of practical and theoretical understanding. Ideal for a wide audience—from mathematicians and engineers to game enthusiasts—the book is designed to be accessible to people with varying levels of mathematical background. Enjoy this topic? Check out our blog post, “Finding Mathematical Optimization in Unexpected Places: Games and Puzzles.”
By Robert Bosch
“Opt Art: From Mathematical Optimization to Visual Design” by Robert Bosch is a captivating exploration of how mathematical optimization techniques can be harnessed to create stunning visual art. The book serves as a unique blend of a coffee table book’s artistic beauty and enriching classroom exposition. It’s not just a collection of beautiful images; it’s a comprehensive guide that teaches you the mathematics of optimization in an engaging and accessible manner. Bosch’s delight in teasing out the tensions between constraint and creativity is evident on every page. From Legos to dominoes and from mazes to the Mona Lisa, the book shows how simple linear equations can become a powerful tool in the hands of a mathematical artist. Enjoy this topic? Check out our blog post, “Finding Mathematical Optimization in Unexpected Places: The Art World.”
By Steve Sashihara
“The Optimization Edge: Reinventing Decision Making to Maximize All Your Company’s Assets” by Steve Sashihara offers a compelling guide to integrating optimization into the core business processes of your organization. Written by the CEO of Princeton Consultants Inc., a firm specializing in blending information technology and management consulting, this book is a treasure trove of insights for executives and innovators alike. It goes beyond buzzwords like “Big Data” to focus on “Big Optimization,” providing a maturity model to help companies assess their state of optimization and identify areas of opportunity. Whether you’re a seasoned executive or an emerging leader, this book equips you with the tools and frameworks to make better decisions, maximize assets, and seize new opportunities.
By Dan Gusfield
“Integer Programming and Computational Systems Biology” offers a transformative approach to biological computation. If you’re intrigued by the crossroads of biology and mathematical optimization, this book is a must-read. Here’s why:
By Matteo Fischetti
“Introduction to Mathematical Optimization” by Matteo Fischetti serves as a comprehensive teaching aid for students delving into the realms of operations research and mathematical optimization. Here’s why you should consider adding it to your reading list:
Nathan Brixius’s blog is a treasure trove for anyone interested in mathematical optimization, machine learning, and the intersection of these fields with real-world applications. The blog covers a wide range of topics, from technical tutorials and code snippets to thought-provoking articles on the future of these disciplines.
By Erwin Kalvelgen
“Yet Another Math Programming Consultant” is a blog that serves as a rich repository of technical notes, insights, and solutions related to mathematical programming and optimization. Authored by Erwin Kalvelgen, a full-time consultant who specializes in the design, implementation, and deployment of mathematical programming and data-science applications, this blog is a goldmine for both practitioners and enthusiasts.
By Laura Albert
If you’re looking to delve into the world of operations research, the blog “Punk Rock Operations Research” by Laura Albert is a treasure trove of insights, discussions, and thought-provoking articles. The blog covers a wide range of topics, from the history and philosophy of operations research to its applications in sports analytics and engineering challenges. One of the standout pieces is a transcript of a lecture by Philip McCord Morse, which delves into the essence of operations research, emphasizing its flexibility, practicality, and data-driven nature. The blog also features conference recaps, discussions on academic research collaboration, and even a playful take on what to call a group of operations researchers.
By Princeton Consultants
“The Optimization Edge Blog” by Princeton Consultants is a must-read for anyone interested in the practical applications of optimization and decision-making. Authored by experts in the field, the blog offers a unique blend of technical insights, industry trends, and real-world case studies. Topics range from the role of optimization in software development and design thinking to its impact on transportation, logistics, and supply chains. The blog also delves into the challenges faced by various industries, such as manufacturing and rail transportation, and how optimization can offer solutions.
By Paul A. Rubin
“OR in an OB World” offers a candid look into the world of operations research and mathematical optimization. Paul Rubin’s approach is both practical and insightful, discussing real-world applications and challenges. Whether it’s a detailed explanation of file versioning in LyX, a typesetting system often used for academic papers, or tips on reducing drive clutter, the blog provides valuable insights that can benefit both newcomers and seasoned professionals. The blog also serves as a platform for sharing fixes and workarounds for common issues, making it a useful resource for anyone looking to navigate the complexities of operations research and mathematical optimization.
By Michael Watson
Are you a business leader, data scientist, or simply an AI enthusiast looking to navigate the complex world of artificial intelligence? Look no further, because Mike Talks AI is the blog you need to follow.
Written by Mike Watson, this Substack publication offers a rich blend of content that ranges from practical AI applications in business to career advice for young data scientists. The blog is not just about theories; it’s about actionable insights that you can apply in your professional life. Whether you’re interested in operational excellence, network design, or the nuances of AI, Mike Talks AI has got you covered.
The blog delves into a variety of subjects that are crucial in today’s data-driven world. From discussing career moves that young data scientists often dismiss, to sharing lessons from Walmart’s innovative approach to network design, Mike Talks AI offers a balanced mix of thought leadership and practical advice.
So, if you’re ready to up your AI game and stay ahead of the curve, subscribing to Mike Talks AI is a decision you won’t regret.
By Anand Subramanian
“Subject to” offers a series of informal conversations with relevant figures in the fields of Operations Research, Combinatorial Optimization, and Logistics. Hosted by Anand Subramanian, an Associate Professor at Universidade Federal da Paraíba (UFPB) in Brazil, the channel serves as a platform for insightful dialogues that delve into the intricacies of these disciplines. Anand brings a rich background to the table, being an author of more than 55 articles published in prestigious international journals and boasting over 4,000 citations on Google Scholar. His channel is not just for academics; it’s for anyone who is passionate about these fields and wants to hear from the experts. Whether you’re a student, a professional, or simply someone interested in learning more about operations research and related areas, “Subject to” offers a unique and engaging way to deepen your understanding.
Know of some good books, blogs, and other resources we should check out and consider adding to our list? Send us an email at email@example.com.
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