Continuous optimization refers to the process of finding the best solution (maximum or minimum) of an objective function that is defined over continuous variables. This contrasts with discrete optimization, where variables can only take on discrete values (such as integers). In continuous optimization, the decision variables can take on any value within a defined range. ### Key Concepts in Continuous Optimization: 1. **Objective Function**: This is the function that needs to be maximized or minimized. It describes the goal of the optimization problem.

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