Operations Research

The primary goal of linear programming is to find the optimal solution, using various algorithms, with the Simplex method being prominent, whereas the Greedy algorithm is less common. Heuristics are acknowledged as approximate methods that do not guarantee optimal solutions. Sensitivity analysis is important for understanding how changes in inputs affect outcomes, aiding decision-making stability. Finally, the quiz notes that techniques like decision trees, game theory, and Markov chains are used for decision making, whereas regression analysis is not typically considered a core technique in OR. The overall focus is on equipping students with a foundational understanding of OR concepts to facilitate effective decision-making in operational contexts.