1. The problem is to understand why someone might not like linear programming. 2. Linear programming is a mathematical method used to find the best outcome in a model whose requirements are represented by linear relationships. 3. It involves optimizing (maximizing or minimizing) a linear objective function, subject to linear equality and inequality constraints. 4. Some reasons people might not like linear programming include: - It can be abstract and difficult to visualize. - Requires understanding of linear algebra and optimization concepts. - Real-world problems may be nonlinear or too complex for simple linear models. 5. However, linear programming is powerful for many practical problems in economics, engineering, and operations research. 6. If you have specific difficulties or questions about linear programming, feel free to ask!