Discussions

The Linear Programming for Decision-Making book by William Sewell is a practical guide that takes complex methods like the Simplex Algorithm, Gradient Descent, and Newton’s Method and makes them accessible to students, researchers, and industry professionals. What sets it apart is how Sewell combines clear explanations with real-world examples and exercises, ensuring readers can apply what they learn across fields like economics, engineering, and machine learning. To explore how this book bridges the gap between theory and application, visit: Linear Programming for Decision-Making Book By William Sewell.