Introduction to Operations Research

While building on the classic strengths of the original text, the author continues to find new ways to make this book current and relevant to students. One way is by incorporating a wealth of state-of-the-art, user-friendly software and more coverage of business applications than ever before. The hallmark features of this edition include clear and comprehensive coverage of the fundamentals of operations research, an extensive set of interesting problems and cases, and state-of-the-practice operations research software used in conjunction with examples from the text.

• Hands-On Recommendation Systems with Python: Start building powerful and personalized, recommendation engines with Python
• System Dynamics
• Statistical Quality Control
• Good Charts: The HBR Guide to Making Smarter, More Persuasive Data Visualizations
• Beautiful Evidence
• Text Analysis with R for Students of Literature (Quantitative Methods in the Humanities and Social Sciences)
• A User's Guide to Network Analysis in R
• Practical Text Analytics: Interpreting Text and Unstructured Data for Business Intelligence (Marketing Science)
• Facilities Planning
• Visual Explanations: Images and Quantities, Evidence and Narrative