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The Linear Programming for Decision-Making book by William Sewell simplifies complex optimization methods and shows readers how to apply them in real-world problem-solving. From the Simplex Method to Gradient Descent and Newton’s Method, Sewell explains key techniques with clarity, bridging theory and practice through examples and exercises. This makes the book useful across diverse fields like economics, engineering, and machine learning. For anyone looking to master optimization in a practical, approachable way, more details can be found here: Linear Programming for Decision-Making book.